Staff profile

• Decision Theory
• Imprecise Probability
• Nonparametric Predictive Inference
• Operations Research
• Reliability Theory
• Statistics

• 2000: Editorial activities: Member of editorial boards of the following journals: Journal of Risk and Reliability; Quality and Reliability Engineering International; Journal of Statistical Theory and Practice; Communications in Statistics - Theory and Methods; Communications in Statistics - Simulation and Computation; Communications in Statistics - Case Studies, Data Analysis and Applications; Life Cycle Reliability and Safety Engineering; European Journal of Technology and Design; Journal of the Polish Safety and Reliability Association; TransNav.

Chapter in book

• Survival Signatures for System Reliability
  
  Coolen, F. P., & Coolen‐Maturi, T. (2022). Survival Signatures for System Reliability. In Wiley StatsRef: Statistics Reference Online. Wiley. https://doi.org/10.1002/9781118445112.stat08331
• The survival signature for quantifying system reliability: an introductory overview from practical perspective
  
  Coolen, F., & Coolen-Maturi, T. (2021). The survival signature for quantifying system reliability: an introductory overview from practical perspective. In C. van Gulijk & E. Zaitseva (Eds.), Reliability Engineering and Computational Intelligence (pp. 23-37). Springer Verlag. https://doi.org/10.1007/978-3-030-74556-1_2
• Bayesian graphical models for high complexity testing: aspects of implementation
  
  Wooff, D., Goldstein, M., & Coolen, F. (2018). Bayesian graphical models for high complexity testing: aspects of implementation. In R. Kenett, F. Ruggeri, & F. Faltin (Eds.), Analytic methods in systems and software testing. (pp. 213-243). Wiley. https://doi.org/10.1002/9781119357056.ch8
• Nonparametric Predictive Precedence Testing for Two Groups.
  
  Coolen-Schrijner, P., Maturi, T., & Coolen, F. P. A. (2009). Nonparametric Predictive Precedence Testing for Two Groups. In Imprecision in Statistical Theory and Practice. (pp. 91-105). Grace Scientific Publishing LLC.

Conference Paper

• Survival Signature for Reliability Quantification of Large Systems and Networks
  
  Coolen, F. P. A., & Coolen-Maturi, T. (2024). Survival Signature for Reliability Quantification of Large Systems and Networks. In W. Zamojski, J. Mazurkiewicz, J. Sugier, T. Walkowiak, & J. Kacprzyk (Eds.), System Dependability - Theory and Applications (pp. 29-37). Springer Nature. https://doi.org/10.1007/978-3-031-61857-4_3
• Imprecise system reliability using the survival signature
  
  Coolen, F., Coolen-Maturi, T., Aslett, L., & Walter, G. (2016). Imprecise system reliability using the survival signature. In R. Bris, V. Snášel, C. D. Khanh, & P. Dao (Eds.), Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (pp. 207-214). CRC Press. https://doi.org/10.1201/b21348
• Adaptive (opportunity-based) age replacement strategies
  
  Coolen, F., Coolen-Schrijner, P., & Shaw, S. (2004). Adaptive (opportunity-based) age replacement strategies. In M. Newby, P. . A. Scarf, & W. Wang (Eds.), Modelling in industrial maintenance and reliability : "impacting on practice" ; proceedings of MIMAR 2004, the 5th IMA international conference, 5 - 7 April 2004, Salford, United Kingdom.. Institute of Mathematics and its Applications.

Edited book

• Uncertainty in Engineering - Introduction to Methods and Applications
  
  Aslett, L., Coolen, F., & De Bock, J. (Eds.). (2022). Uncertainty in Engineering - Introduction to Methods and Applications. Springer Verlag. https://doi.org/10.1007/978-3-030-83640-5

Journal Article

• Statistical Perspectives on Reproducibility: Definitions and Challenges
  
  Simkus, A., Coolen-Maturi, T., Coolen, F. P., & Bendtsen, C. (2025). Statistical Perspectives on Reproducibility: Definitions and Challenges. Journal of Statistical Theory and Practice, 19(3), Article 40. https://doi.org/10.1007/s42519-025-00459-x
• Parametric Predictive Bootstrap Method for the Reproducibility of Hypothesis Tests
  
  Aldawsari, A. M. A., Coolen-Maturi, T., & Coolen, F. P. A. (2025). Parametric Predictive Bootstrap Method for the Reproducibility of Hypothesis Tests. Journal of Statistical Theory and Practice, 19(2), Article 21. https://doi.org/10.1007/s42519-025-00438-2
• Exceedance probabilities using Nonparametric Predictive Inference
  
  Mahnashi, A. M., Coolen, F. P., & Coolen-Maturi, T. (2025). Exceedance probabilities using Nonparametric Predictive Inference. Franklin Open, 11, Article 100241. https://doi.org/10.1016/j.fraope.2025.100241
• Nonparametric Predictive Inference for Two Future Observations with Right-Censored Data
  
  Coolen-Maturi, T., Mahnashi, A. M., & Coolen, F. P. A. (2024). Nonparametric Predictive Inference for Two Future Observations with Right-Censored Data. Mathematical Methods of Statistics, 33(4), 338-372. https://doi.org/10.3103/S1066530724700182
• Nonparametric Predictive Inference for Discrete Lifetime Data
  
  Coolen, F. P. A., Coolen-Maturi, T., & Mahnashi, A. M. Y. (2024). Nonparametric Predictive Inference for Discrete Lifetime Data. Mathematics, 12(22), Article 3514. https://doi.org/10.3390/math12223514
• A Bayesian Imprecise Classification method that weights instances using the error costs
  
  Moral-García, S., Coolen-Maturi, T., Coolen, F. P., & Abellán, J. (2024). A Bayesian Imprecise Classification method that weights instances using the error costs. Applied Soft Computing, 165, 112080. https://doi.org/10.1016/j.asoc.2024.112080
• Reproducibility of estimates based on randomised response methods
  
  Alghamdi, F. M., Coolen, F. P. A., & Coolen-Maturi, T. (2024). Reproducibility of estimates based on randomised response methods. Journal of Statistical Theory and Practice, 18, Article 57. https://doi.org/10.1007/s42519-024-00409-z
• Reproducibility of mean estimators under ranked set sampling
  
  Rehman, S. A., Coolen-Maturi, T., Coolen, F. P., & Shabbir, J. (2024). Reproducibility of mean estimators under ranked set sampling. Franklin Open, 8, Article 100139. https://doi.org/10.1016/j.fraope.2024.100139
• Reproducibility of Statistical Tests Based on Randomised Response Data
  
  Alghamdi, F. M., Coolen, F. P. A., & Coolen-Maturi, T. (2024). Reproducibility of Statistical Tests Based on Randomised Response Data. Journal of Statistical Theory and Practice, 18(1), Article 13. https://doi.org/10.1007/s42519-024-00366-7
• Smoothed Bootstrap Methods for Hypothesis Testing
  
  Al Luhayb, A. S. M., Coolen-Maturi, T., & Coolen, F. P. A. (2024). Smoothed Bootstrap Methods for Hypothesis Testing. Journal of Statistical Theory and Practice, 18(1), Article 16. https://doi.org/10.1007/s42519-024-00370-x
• Smoothed Bootstrap for Right-Censored Data
  
  Luhayb, A. S. M. A., Coolen, F. P., & Coolen-Maturi, T. (2024). Smoothed Bootstrap for Right-Censored Data. Communications in Statistics - Theory and Methods, 53(11), 4037-4061. https://doi.org/10.1080/03610926.2023.2171708
• New reliability model for complex systems based on stochastic processes and survival signature
  
  Chang, M., Huang, X., Coolen, F., & Coolen-Maturi, T. (2023). New reliability model for complex systems based on stochastic processes and survival signature. European Journal of Operational Research, 309(3), 1349-1364. https://doi.org/10.1016/j.ejor.2023.02.027
• Smoothed bootstrap methods for bivariate data
  
  Al Luhayb, A., Coolen-Maturi, T., & Coolen, F. (2023). Smoothed bootstrap methods for bivariate data. Journal of Statistical Theory and Practice, 17(3), Article 37. https://doi.org/10.1007/s42519-023-00334-7
• A generalized system reliability model based on survival signature and multiple competing failure processes
  
  Chang, M., Coolen, F., Coolen-Maturi, T., & Huang, X. (2023). A generalized system reliability model based on survival signature and multiple competing failure processes. Journal of Computational and Applied Mathematics, 435, Article 115364. https://doi.org/10.1016/j.cam.2023.115364
• Logic Differential Calculus for Reliability Analysis Based on Survival Signature
  
  Rusnak, P., Zaitseva, E., Coolen, F., Kvassay, M., & Levashenko, V. (2023). Logic Differential Calculus for Reliability Analysis Based on Survival Signature. IEEE Transactions on Dependable and Secure Computing, 20(2), 1529-1540. https://doi.org/10.1109/tdsc.2022.3159126
• Discussion of signature‐based models of preventive maintenance
  
  Coolen, F. P., Coolen‐Maturi, T., & van Houtum, G. (2023). Discussion of signature‐based models of preventive maintenance. Applied Stochastic Models in Business and Industry, 39(1), 68-70. https://doi.org/10.1002/asmb.2716
• Discussion of specifying prior distributions in reliability applications
  
  Coolen, F. (2023). Discussion of specifying prior distributions in reliability applications. Applied Stochastic Models in Business and Industry, 40(1), 108-110. https://doi.org/10.1002/asmb.2799
• A monotonicity property of weighted log-rank tests
  
  Coolen-Maturi, T., & Coolen, F. (2023). A monotonicity property of weighted log-rank tests. Communications in Statistics - Theory and Methods, 52(7), 2402-2416. https://doi.org/10.1080/03610926.2021.1952270
• A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference
  
  Moral-Garcia, S., Abellan, J., Coolen-Maturi, T., & Coolen, F. (2022). A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Applied Soft Computing, 123, Article 108916. https://doi.org/10.1016/j.asoc.2022.108916
• Pricing exotic options in the incomplete market: an imprecise probability method
  
  He, T., Coolen, F., & Coolen-Maturi, T. (2022). Pricing exotic options in the incomplete market: an imprecise probability method. Applied Stochastic Models in Business and Industry, 38(3), 422-440. https://doi.org/10.1002/asmb.2668
• Statistical reproducibility for pairwise t-tests in pharmaceutical research
  
  Simkus, A., Coolen, F., Coolen-Maturi, T., Karp, N., & Bendtsen, C. (2022). Statistical reproducibility for pairwise t-tests in pharmaceutical research. Statistical Methods in Medical Research, 31(4), 673-688. https://doi.org/10.1177/09622802211041765
• Survival signature for reliability evaluation of a multi-state system with multi-state components
  
  Qin, J., & Coolen, F. (2022). Survival signature for reliability evaluation of a multi-state system with multi-state components. Reliability Engineering and System Safety, 218(Part A), Article 108129. https://doi.org/10.1016/j.ress.2021.108129
• Counterfactual explanation of machine learning survival models
  
  Kovalev, M., Utkin, L., Coolen, F., & Konstantinov, A. (2022). Counterfactual explanation of machine learning survival models. Informatica, 32(4), 817-847. https://doi.org/10.15388/21-infor468
• Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels
  
  Chang, M., Huang, X., Coolen, F., & Coolen-Maturi, T. (2021). Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels. Reliability Engineering and System Safety, 216, Article 108007. https://doi.org/10.1016/j.ress.2021.108007
• Imprecise inference based on the log-rank test for accelerated life testing
  
  Coolen, F., Ahmadini, A., & Coolen-Maturi, T. (2021). Imprecise inference based on the log-rank test for accelerated life testing. Metrika, 84, 913-925. https://doi.org/10.1007/s00184-021-00807-4
• The joint survival signature of coherent systems with shared components
  
  Coolen-Maturi, T., Coolen, F. P., & Balakrishnan, N. (2021). The joint survival signature of coherent systems with shared components. Reliability Engineering and System Safety, 207, Article 107350. https://doi.org/10.1016/j.ress.2020.107350
• Nonparametric predictive inference for comparison of two diagnostic tests
  
  Alabdulhadi, M., Coolen-Maturi, T., & Coolen, F. (2021). Nonparametric predictive inference for comparison of two diagnostic tests. Communications in Statistics - Theory and Methods, 50(19), 4470-4486. https://doi.org/10.1080/03610926.2020.1719157
• Nonparametric Predictive Inference for American Option Pricing based on the Binomial Tree Model
  
  He, T., Coolen, F., & Coolen-Maturi, T. (2021). Nonparametric Predictive Inference for American Option Pricing based on the Binomial Tree Model. Communications in Statistics - Theory and Methods, 50(20), 4657-4684. https://doi.org/10.1080/03610926.2020.1764040
• A new boosting-based software reliability growth model
  
  Utkin, L., & Coolen, F. (2021). A new boosting-based software reliability growth model. Communications in Statistics - Theory and Methods, 50(24), 6167-6194. https://doi.org/10.1080/03610926.2020.1740736
• A practical reliability design method considering the compound weight and load-sharing
  
  Li, Y., Coolen, F., & Zhu, C. (2020). A practical reliability design method considering the compound weight and load-sharing. International Journal of Approximate Reasoning, 127, 17-32. https://doi.org/10.1016/j.ijar.2020.09.001
• Nonparametric predictive inference for test reproducibility by sampling future data orderings
  
  Coolen, F., & Marques, F. (2020). Nonparametric predictive inference for test reproducibility by sampling future data orderings. Journal of Statistical Theory and Practice, 14(4), Article 62. https://doi.org/10.1007/s42519-020-00127-2
• Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation
  
  Thach, T., Bris, R., Volf, P., & Coolen, F. (2020). Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation. International Journal of Approximate Reasoning, 123, 55-76. https://doi.org/10.1016/j.ijar.2020.04.007
• Imprecise weighted extensions of random forests for classification and regression
  
  Utkin, L., Kovalev, M., & Coolen, F. (2020). Imprecise weighted extensions of random forests for classification and regression. Applied Soft Computing, 92, Article 106324. https://doi.org/10.1016/j.asoc.2020.106324
• Reliability analysis of phased mission systems when components can be swapped upon failure
  
  Coolen, F., Huang, X., & Najem, A. (2020). Reliability analysis of phased mission systems when components can be swapped upon failure. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering, 6(2), Article 020905. https://doi.org/10.1115/1.4046328
• Nonparametric predictive inference bootstrap with application to reproducibility of the two-sample Kolmogorov-Smirnov test
  
  Coolen, F., & Bin Himd, S. (2020). Nonparametric predictive inference bootstrap with application to reproducibility of the two-sample Kolmogorov-Smirnov test. Journal of Statistical Theory and Practice, 14(2), Article 26. https://doi.org/10.1007/s42519-020-00097-5
• Reliability assessment of the hydraulic system of wind turbines based on load-sharing using survival signature
  
  Li, Y., Coolen, F., Zhu, C., & Tan, J. (2020). Reliability assessment of the hydraulic system of wind turbines based on load-sharing using survival signature. Renewable Energy, 153, 766-776. https://doi.org/10.1016/j.renene.2020.02.017
• A new study on reliability importance analysis of phased mission systems
  
  Huang, X., Coolen, F., Coolen-Maturi, T., & Zhang, Y. (2020). A new study on reliability importance analysis of phased mission systems. IEEE Transactions on Reliability, 69(2), 522-532. https://doi.org/10.1109/tr.2019.2923695
• Statistical inference for the Arrhenius-Weibull accelerated life testing model with imprecision based on the likelihood ratio test
  
  Ahmadini, A., & Coolen, F. (2020). Statistical inference for the Arrhenius-Weibull accelerated life testing model with imprecision based on the likelihood ratio test. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(2), 275-289. https://doi.org/10.1177/1748006x19884860
• Estimation of small area total with randomized data
  
  Ahmed, S., Shabbir, J., Gupta, S., & Coolen, F. (2020). Estimation of small area total with randomized data. Revstat Statistical Journal, 18(2), 223-235.
• Nonparametric predictive inference for diagnostic test thresholds
  
  Coolen-Maturi, T., Coolen, F., & Alabdulhadi, M. (2020). Nonparametric predictive inference for diagnostic test thresholds. Communications in Statistics - Theory and Methods, 49(3), 697-725. https://doi.org/10.1080/03610926.2018.1549249
• Time-dependent reliability analysis of wind turbines considering load-sharing using fault tree analysis and Markov chains
  
  Li, Y., & Coolen, F. (2019). Time-dependent reliability analysis of wind turbines considering load-sharing using fault tree analysis and Markov chains. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(6), 1074-1085. https://doi.org/10.1177/1748006x19859690
• Non‐parametric predictive inference for the validation of credit rating systems
  
  Coolen-Maturi, T., & Coolen, F. (2019). Non‐parametric predictive inference for the validation of credit rating systems. Journal of the Royal Statistical Society: Series A, 182(4), 1189-1204. https://doi.org/10.1111/rssa.12416
• Reliability analysis of general phased mission systems with a new survival signature
  
  Huang, X., Aslett, L. J., & Coolen, F. P. (2019). Reliability analysis of general phased mission systems with a new survival signature. Reliability Engineering and System Safety, 189, 416-422. https://doi.org/10.1016/j.ress.2019.04.019
• Nonparametric predictive comparison of two diagnostic tests based on total numbers of correctly diagnosed individuals
  
  Alabdulhadi, M., Coolen, F., & Coolen-Maturi, T. (2019). Nonparametric predictive comparison of two diagnostic tests based on total numbers of correctly diagnosed individuals. Journal of Statistical Theory and Practice, 13, Article 38. https://doi.org/10.1007/s42519-019-0039-6
• Extending the survival signature paradigm to complex systems with non-repairable dependent failures
  
  George-Williams, H., Feng, G., Coolen, F., Beer, M., & Patelli, E. (2019). Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 505-519. https://doi.org/10.1177/1748006x18808085
• Nonparametric Predictive Inference for European Option Pricing based on the Binomial Tree Model
  
  He, T., Coolen, F., & Coolen-Maturi, T. (2019). Nonparametric Predictive Inference for European Option Pricing based on the Binomial Tree Model. Journal of the Operational Research Society, 70(10), 1692-1708. https://doi.org/10.1080/01605682.2018.1495997
• A heuristic survival signature based approach for reliability-redundancy allocation
  
  Huang, X., Coolen, F., & Coolen-Maturi, T. (2019). A heuristic survival signature based approach for reliability-redundancy allocation. Reliability Engineering and System Safety, 185, 511-517. https://doi.org/10.1016/j.ress.2019.02.010
• Robustness of nonparametric predictive inference for future order statistics
  
  Alqifari, H., & Coolen, F. (2019). Robustness of nonparametric predictive inference for future order statistics. Journal of Statistical Theory and Practice, 13(1), Article 12. https://doi.org/10.1007/s42519-018-0011-x
• Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests
  
  Marques, F., Coolen, F., & Coolen-Maturi, T. (2019). Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests. Journal of Statistical Theory and Practice, 13, Article 15. https://doi.org/10.1007/s42519-018-0020-9
• Approximations for the likelihood ratio statistic for hypothesis testing between two Beta distributions
  
  Marques, F., Coolen, F., & Coolen-Maturi, T. (2019). Approximations for the likelihood ratio statistic for hypothesis testing between two Beta distributions. Journal of Statistical Theory and Practice, 13, Article 17. https://doi.org/10.1007/s42519-018-0021-8
• On nonparametric predictive inference for asset and European option trading in the binomial tree model
  
  Chen, J., Coolen, F., & Coolen-Maturi, T. (2019). On nonparametric predictive inference for asset and European option trading in the binomial tree model. Journal of the Operational Research Society, 70(10), 1678-1691. https://doi.org/10.1080/01605682.2019.1643682
• Applying prospect theory to multi-attribute problems with independence assumptions
  
  Stanley, J., & Coolen, F. (2019). Applying prospect theory to multi-attribute problems with independence assumptions. Involve, 12(4), 687-711. https://doi.org/10.2140/involve.2019.12.687
• Reliability sensitivity analysis of coherent systems based on survival signature
  
  Huang, X., & Coolen, F. (2018). Reliability sensitivity analysis of coherent systems based on survival signature. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232(6), 627-634. https://doi.org/10.1177/1748006x18754974
• System reliability and component importance when components can be swapped upon failure
  
  Najem, A., & Coolen, F. (2018). System reliability and component importance when components can be swapped upon failure. Applied Stochastic Models in Business and Industry, 35(3), Article 399-413. https://doi.org/10.1002/asmb.2420
• Imprecise probabilistic inference for software run reliability growth models
  
  Utkin, L., & Coolen, F. (2018). Imprecise probabilistic inference for software run reliability growth models. Journal of Uncertain Systems., 12(4), 292-308.
• Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests
  
  Muhammad, N., Coolen-Maturi, T., & Coolen, F. (2018). Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests. Statistics, Optimization & Information Computing., 6(3), 398-408. https://doi.org/10.19139/soic.v6i3.579
• Robust Bayesian reliability for complex systems under prior-data conflict
  
  Walter, G., & Coolen, F. (2018). Robust Bayesian reliability for complex systems under prior-data conflict. Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 4(3), Article 04018025. https://doi.org/10.1061/ajrua6.0000974
• A robust weighted SVR-based software reliability growth model
  
  Utkin, L., & Coolen, F. (2018). A robust weighted SVR-based software reliability growth model. Reliability Engineering and System Safety, 176, 93-101. https://doi.org/10.1016/j.ress.2018.04.007
• k-Boxplots for mixture data
  
  Qarmalah, N. M., Einbeck, J., & Coolen, F. P. (2018). k-Boxplots for mixture data. Statistical Papers, 59(2), 513-528. https://doi.org/10.1007/s00362-016-0774-7
• Nonparametric predictive inference for future order statistics
  
  Coolen, F., Coolen-Maturi, T., & Alqifari, H. (2018). Nonparametric predictive inference for future order statistics. Communications in Statistics - Theory and Methods, 47(10), 2527-2548. https://doi.org/10.1080/03610926.2017.1342834
• Nonparametric predictive inference for reproducibility of two basic tests based on order statistics
  
  Coolen, F., & Alqifari, H. (2018). Nonparametric predictive inference for reproducibility of two basic tests based on order statistics. Revstat Statistical Journal, 16(2), 167-185.
• Marginal and joint reliability importance based on survival signature
  
  Eryilmaz, S., Coolen, F., & Coolen-Maturi, T. (2018). Marginal and joint reliability importance based on survival signature. Reliability Engineering and System Safety, 172, 118-128. https://doi.org/10.1016/j.ress.2017.12.002
• Mean residual life of coherent systems consisting of multiple types of dependent components
  
  Eryilmaz, S., Coolen, F., & Coolen-Maturi, T. (2018). Mean residual life of coherent systems consisting of multiple types of dependent components. Naval Research Logistics, 65(1), 86-97. https://doi.org/10.1002/nav.21782
• An imprecise statistical method for accelerated life testing using the power-Weibull model
  
  Yin, Y.-C., Coolen, F., & Coolen-Maturi, T. (2017). An imprecise statistical method for accelerated life testing using the power-Weibull model. Reliability Engineering and System Safety, 167, 158-167. https://doi.org/10.1016/j.ress.2017.05.045
• Optimisation of maintenance policy under parameter uncertainty using portfolio theory
  
  Wu, S., Coolen, F., & Liu, B. (2017). Optimisation of maintenance policy under parameter uncertainty using portfolio theory. IISE Transactions., 49(7), 711-721. https://doi.org/10.1080/24725854.2016.1267881
• Nonparametric predictive inference for stock returns
  
  Baker, R., Coolen-Maturi, T., & Coolen, F. (2017). Nonparametric predictive inference for stock returns. Journal of Applied Statistics, 44(8), 1333-1349. https://doi.org/10.1080/02664763.2016.1204429
• Mixture Models for Prediction from Time Series, with Application to Energy Use Data
  
  Qarmalah, N. M., Einbeck, J., & Coolen, F. P. (2017). Mixture Models for Prediction from Time Series, with Application to Energy Use Data. Archives of Data Science. Series A, 2(1), 1-15. https://doi.org/10.5445/ksp/1000058749/07
• Bayesian nonparametric system reliability using sets of priors
  
  Walter, G., Aslett, L., & Coolen, F. (2017). Bayesian nonparametric system reliability using sets of priors. International Journal of Approximate Reasoning, 80(1), 67-88. https://doi.org/10.1016/j.ijar.2016.08.005
• Simulation Methods for System Reliability Using the Survival Signature
  
  Patelli, E., Feng, G., Coolen, F., & Coolen-Maturi, T. (2017). Simulation Methods for System Reliability Using the Survival Signature. Reliability Engineering and System Safety, 167, 327-337. https://doi.org/10.1016/j.ress.2017.06.018
• On the structure function and survival signature for system reliability
  
  Coolen, F., & Coolen-Maturi, T. (2016). On the structure function and survival signature for system reliability. Safety & Reliability : The Journal of the Safety and Reliability Society., 36(2), 77-87. https://doi.org/10.1080/09617353.2016.1219936
• The structure function for system reliability as predictive (imprecise) probability
  
  Coolen, F., & Coolen-Maturi, T. (2016). The structure function for system reliability as predictive (imprecise) probability. Reliability Engineering and System Safety, 154, 180-187. https://doi.org/10.1016/j.ress.2016.06.008
• Predictive inference for bivariate data: Combining nonparametric predictive inference for marginals with an estimated copula
  
  Coolen-Maturi, T., Coolen, F., & Muhammad, N. (2016). Predictive inference for bivariate data: Combining nonparametric predictive inference for marginals with an estimated copula. Journal of Statistical Theory and Practice, 10(3), 515-538. https://doi.org/10.1080/15598608.2016.1184112
• Imprecise system reliability and component importance based on survival signature
  
  Feng, G., Patelli, E., Beer, M., & Coolen, F. (2016). Imprecise system reliability and component importance based on survival signature. Reliability Engineering and System Safety, 150, 116-125. https://doi.org/10.1016/j.ress.2016.01.019
• Bayesian inference for reliability of systems and networks using the survival signature
  
  Aslett, L., Coolen, F., & Wilson, S. (2015). Bayesian inference for reliability of systems and networks using the survival signature. Risk Analysis, 35(9), 1640-1651. https://doi.org/10.1111/risa.12228
• A conjugate class of utility functions for sequential decision problems
  
  Houlding, B., Coolen, F., & Bolger, D. (2015). A conjugate class of utility functions for sequential decision problems. Risk Analysis, 35(9), 1611-1622. https://doi.org/10.1111/risa.12359
• Nonparametric Predictive Inference with Combined Data Under Different Right-Censoring Schemes
  
  Coolen-Maturi, T., & Coolen, F. (2015). Nonparametric Predictive Inference with Combined Data Under Different Right-Censoring Schemes. Journal of Statistical Theory and Practice, 9(2), 288-304. https://doi.org/10.1080/15598608.2014.886313
• Imprecise inference for warranty contract analysis
  
  Utkin, L., Coolen, F., & Gurov, S. (2015). Imprecise inference for warranty contract analysis. Reliability Engineering and System Safety, 138, 31-39. https://doi.org/10.1016/j.ress.2015.01.011
• Predictive inference for system reliability after common-cause component failures
  
  Coolen, F., & Coolen-Maturi, T. (2015). Predictive inference for system reliability after common-cause component failures. Reliability Engineering and System Safety, 135, 27-33. https://doi.org/10.1016/j.ress.2014.11.005
• Interval estimation for proportional reversed hazard family based on lower record values
  
  Wang, B., Yu, K., & Coolen, F. (2015). Interval estimation for proportional reversed hazard family based on lower record values. Statistics and Probability Letters, 98, 115-122. https://doi.org/10.1016/j.spl.2014.12.019
• Imprecise individual risk models of insurance
  
  Utkin, L., & Coolen, F. (2015). Imprecise individual risk models of insurance. Journal of Uncertain Systems., 9(3), 198-214.
• Nonparametric predictive inference for system reliability using the survival signature
  
  Coolen, F., Coolen-Maturi, T., & Al-nefaiee, A. (2014). Nonparametric predictive inference for system reliability using the survival signature. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 228(5), 437-448. https://doi.org/10.1177/1748006x14526390
• Three-group ROC analysis: a nonparametric predictive approach
  
  Coolen-Maturi, T., Elkhafifi, F., & Coolen, F. (2014). Three-group ROC analysis: a nonparametric predictive approach. Computational Statistics & Data Analysis, 78, 69-81. https://doi.org/10.1016/j.csda.2014.04.005
• Nonparametric predictive inference for combined competing risks data
  
  Coolen-Maturi, T., & Coolen, F. (2014). Nonparametric predictive inference for combined competing risks data. Reliability Engineering and System Safety, 126, 87-97. https://doi.org/10.1016/j.ress.2014.01.007
• Classification with support vector machines and Kolmogorov-Smirnov bounds
  
  Utkin, L., & Coolen, F. (2014). Classification with support vector machines and Kolmogorov-Smirnov bounds. Journal of Statistical Theory and Practice, 8(2), 297-318. https://doi.org/10.1080/15598608.2013.788985
• Classification with decision trees from a nonparametric predictive inference perspective
  
  Abellán, J., Baker, R., Coolen, F., Crossman, R., & Masegosa, A. (2014). Classification with decision trees from a nonparametric predictive inference perspective. Computational Statistics & Data Analysis, 71, 789-802. https://doi.org/10.1016/j.csda.2013.02.009
• Nonparametric predictive inference for reliability of a k-out-of-m:G system with multiple component types
  
  Aboalkhair, A., Coolen, F., & MacPhee, I. (2014). Nonparametric predictive inference for reliability of a k-out-of-m:G system with multiple component types. Reliability Engineering and System Safety, 131, 298-304. https://doi.org/10.1016/j.ress.2014.04.010
• Nonparametric predictive inference for reproducibility of basic nonparametric tests
  
  Coolen, F., & Bin Himd, S. (2014). Nonparametric predictive inference for reproducibility of basic nonparametric tests. Journal of Statistical Theory and Practice, 8(4), 591-618. https://doi.org/10.1080/15598608.2013.819792
• Nonparametric predictive inference for system failure time based on bounds for the signature
  
  Al-Nefaiee, A., & Coolen, F. (2013). Nonparametric predictive inference for system failure time based on bounds for the signature. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 227(5), 513-522. https://doi.org/10.1177/1748006x13485188
• Nonparametric predictive reliability of series of voting systems
  
  Aboalkhair, A., Coolen, F., & MacPhee, I. (2013). Nonparametric predictive reliability of series of voting systems. European Journal of Operational Research, 226(1), 77-84. https://doi.org/10.1016/j.ejor.2012.11.001
• Maximum group sizes for simultaneous testing in high potential risk scenarios
  
  Coolen, F. (2013). Maximum group sizes for simultaneous testing in high potential risk scenarios. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 227(6), 569-575. https://doi.org/10.1177/1748006x13489483
• A cost-based importance measure for system components: An extension of the Birnbaum importance
  
  Wu, S., & Coolen, F. (2013). A cost-based importance measure for system components: An extension of the Birnbaum importance. European Journal of Operational Research, 225(1), 189-195. https://doi.org/10.1016/j.ejor.2012.09.034
• Nonparametric predictive inference for binary diagnostic tests
  
  Coolen-Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2012). Nonparametric predictive inference for binary diagnostic tests. Journal of Statistical Theory and Practice, 6(4), 665-680. https://doi.org/10.1080/15598608.2012.719800
• Nonparametric predictive multiple comparisons of lifetime data
  
  Coolen-Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2012). Nonparametric predictive multiple comparisons of lifetime data. Communications in Statistics - Theory and Methods, 41(22), 4164-4181. https://doi.org/10.1080/03610926.2011.569863
• Nonparametric predictive inference for failure times of systems with exchangeable components
  
  Coolen, F., & Al-nefaiee, A. (2012). Nonparametric predictive inference for failure times of systems with exchangeable components. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226(3), 262-273. https://doi.org/10.1177/1748006x11418430
• Nonparametric predictive inference for diagnostic accuracy
  
  Coolen-Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2012). Nonparametric predictive inference for diagnostic accuracy. Journal of Statistical Planning and Inference, 142(5), 1141-1150. https://doi.org/10.1016/j.jspi.2011.11.015
• A nonparametric predictive approach to sequential acceptance problems
  
  Elsaeiti, M., & Coolen, F. (2012). A nonparametric predictive approach to sequential acceptance problems. Journal of Statistical Theory and Practice, 6(3), 383-401. https://doi.org/10.1080/15598608.2012.695930
• Nonparametric predictive inference for accuracy of ordinal diagnostic tests
  
  Elkhafifi, F., & Coolen, F. (2012). Nonparametric predictive inference for accuracy of ordinal diagnostic tests. Journal of Statistical Theory and Practice, 6(4), 681-697. https://doi.org/10.1080/15598608.2012.719802
• Nonparametric predictive utility inference
  
  Houlding, B., & Coolen, F. (2012). Nonparametric predictive utility inference. European Journal of Operational Research, 221(1), 222-230. https://doi.org/10.1016/j.ejor.2012.03.024
• Unobserved, re-defined, unknown or removed failure modes in competing risks
  
  Coolen-Maturi, T., & Coolen, F. (2011). Unobserved, re-defined, unknown or removed failure modes in competing risks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 225(4), 461-474. https://doi.org/10.1177/1748006x11401706
• The shape of the hazard rate for finite continuous-time birth–death processes
  
  Crossman, R., Coolen-Schrijner, P., & Coolen, F. (2011). The shape of the hazard rate for finite continuous-time birth–death processes. Statistics and Probability Letters, 81(2), 181-187. https://doi.org/10.1016/j.spl.2010.10.018
• Considerations on jury size and composition using lower probabilities
  
  Coolen, F., Houlding, B., & Parkinson, S. (2011). Considerations on jury size and composition using lower probabilities. Journal of Statistical Planning and Inference, 141(1), 382-391. https://doi.org/10.1016/j.jspi.2010.06.014
• Adaptive utility and trial aversion.
  
  Houlding, B., & Coolen, F. (2011). Adaptive utility and trial aversion. Journal of Statistical Planning and Inference, 141(2), 734-747. https://doi.org/10.1016/j.jspi.2010.07.023
• Maximising entropy on the nonparametric predictive inference model for multinomial data
  
  Abellán, J., Baker, R., & Coolen, F. (2011). Maximising entropy on the nonparametric predictive inference model for multinomial data. European Journal of Operational Research, 212(1), 112-122. https://doi.org/10.1016/j.ejor.2011.01.020
• Nonparametric predictive selection with early experiment termination.
  
  Coolen-Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2011). Nonparametric predictive selection with early experiment termination. Journal of Statistical Planning and Inference, 141(4), 1403-1421. https://doi.org/10.1016/j.jspi.2010.10.018
• Imprecise probability in statistical inference and decision making
  
  Augustin, T., Coolen, F. P., Moral, S., & Troffaes, M. C. (2010). Imprecise probability in statistical inference and decision making. International Journal of Approximate Reasoning, 51(9), 1011-1013. https://doi.org/10.1016/j.ijar.2010.08.001
• Nonparametric predictive comparison of lifetime data under progressive censoring
  
  Maturi, T. A., Coolen-Schrijner, P., & Coolen, F. P. A. (2010). Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference, 140(2), 515-525. https://doi.org/10.1016/j.jspi.2009.07.027
• New interval Bayesian models for software reliability based on non-homogeneous Poisson processes
  
  Utkin, L., Zatenko, S., & Coolen, F. (2010). New interval Bayesian models for software reliability based on non-homogeneous Poisson processes. Automation and Remote Control, 71(5), 935-944. https://doi.org/10.1134/s0005117910050218
• Nonparametric predictive category selection for multinomial data
  
  Baker, R., & Coolen, F. (2010). Nonparametric predictive category selection for multinomial data. Journal of Statistical Theory and Practice, 4(3), 509-526. https://doi.org/10.1080/15598608.2010.10412000
• Extended opportunity-based age replacement with a one-cycle criterion
  
  Venkat, D., Coolen, F., & Coolen-Schrijner, P. (2010). Extended opportunity-based age replacement with a one-cycle criterion. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 224(1), 55-62. https://doi.org/10.1243/1748006xjrr275
• Nonparametric predictive inference for exposure assessment
  
  Roelofs, V., Coolen, F., & Hart, A. (2010). Nonparametric predictive inference for exposure assessment. Risk Analysis, 31(2), 218-227. https://doi.org/10.1111/j.1539-6924.2010.01490.x
• Nonparametric predictive inference for competing risks.
  
  Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2010). Nonparametric predictive inference for competing risks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 224(1), 11-26. https://doi.org/10.1243/1748006xjrr263
• On modelling of grouped reliability data for wind turbines
  
  Coolen, F., Spinato, F., & Venkat, D. (2010). On modelling of grouped reliability data for wind turbines. IMA Journal of Management Mathematics, 21(4), 363-372. https://doi.org/10.1093/imaman/dpn012
• Imprecision in Statistical Theory and Practice
  
  Coolen-Schrijner, P., Coolen, F. P., Troffaes, M. C., & Augustin, T. (2009). Imprecision in Statistical Theory and Practice. Journal of Statistical Theory and Practice, 3(1), 1-9.
• Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data
  
  Troffaes, M., & Coolen, F. (2009). Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data. International Journal of Approximate Reasoning, 50(2), 257-268. https://doi.org/10.1016/j.ijar.2008.03.013
• Opportunity-based age replacement with a one-cycle criterion
  
  Coolen-Schrijner, P., Shaw, S., & Coolen, F. (2009). Opportunity-based age replacement with a one-cycle criterion. Journal of the Operational Research Society, 60(10), 1428-1438. https://doi.org/10.1057/jors.2008.99
• Nonparametric predictive precedence testing for two groups
  
  Coolen-Schrijner, P., Maturi, T., & Coolen, F. (2009). Nonparametric predictive precedence testing for two groups. Journal of Statistical Theory and Practice, 3(1), 273-287. https://doi.org/10.1080/15598608.2009.10411925
• Nonparametric predictive methods for acceptance sampling
  
  Coolen, F., & Elsaeiti, M. (2009). Nonparametric predictive methods for acceptance sampling. Journal of Statistical Theory and Practice, 3(4), 907-921. https://doi.org/10.1080/15598608.2009.10411969
• A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories.
  
  Coolen, F., & Augustin, T. (2009). A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories. International Journal of Approximate Reasoning, 50(2), 217-230. https://doi.org/10.1016/j.ijar.2008.03.011
• Time-homogeneous birth-death processes with probability intervals and absorbing state
  
  Crossman, R., Coolen-Schrijner, P., & Coolen, F. (2009). Time-homogeneous birth-death processes with probability intervals and absorbing state. Journal of Statistical Theory and Practice, 3(1), 103-118. https://doi.org/10.1080/15598608.2009.10411914
• Nonparametric predictive pairwise comparison for real-valued data with terminated tails
  
  Maturi, T. A., Coolen-Schrijner, P., & Coolen, F. P. A. (2009). Nonparametric predictive pairwise comparison for real-valued data with terminated tails. International Journal of Approximate Reasoning, 51(1), 141-150. https://doi.org/10.1016/j.ijar.2009.09.005
• Nonparametric predictive system reliability with redundancy allocation following component testing
  
  MacPhee, I., Coolen, F., & Aboalkhair, A. (2009). Nonparametric predictive system reliability with redundancy allocation following component testing. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 223(3), 181-188. https://doi.org/10.1243/1748006xjrr239
• Bayesian probability boxes in risk assessment
  
  Montgomery, V., Coolen, F., & Hart, A. (2009). Bayesian probability boxes in risk assessment. Journal of Statistical Theory and Practice, 3(1), 69-83. https://doi.org/10.1080/15598608.2009.10411912
• Two nonparametric predictive control charts
  
  Arts, G., & Coolen, F. (2008). Two nonparametric predictive control charts. Journal of Statistical Theory and Practice, 2(4), 499-512. https://doi.org/10.1080/15598608.2008.10411890
• Nonparametric predictive inference for system reliability with redundancy allocation.
  
  Coolen-Schrijner, P., Coolen, F., & MacPhee, I. (2008). Nonparametric predictive inference for system reliability with redundancy allocation. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 222(4), 463-476. https://doi.org/10.1243/1748006xjrr179
• Nonparametric predictive comparison of proportions
  
  Coolen, F., & Coolen-Schrijner, P. (2007). Nonparametric predictive comparison of proportions. Journal of Statistical Planning and Inference, 137(1), 23-33. https://doi.org/10.1016/j.jspi.2005.11.008
• Nonparametric prediction of unobserved failure modes
  
  Coolen, F. (2007). Nonparametric prediction of unobserved failure modes. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 221(3), 207-216. https://doi.org/10.1243/1748006xjrr61
• On nonparametric predictive inference and abjective Bayesianism
  
  Coolen, F. (2006). On nonparametric predictive inference and abjective Bayesianism. Journal of Logic, Language and Information, 15(1-2), 21-47. https://doi.org/10.1007/s10849-005-9005-7
• Nonparametric adaptive opportunity-based replacement strategies
  
  Coolen-Schrijner, P., Coolen, F., & Shaw, S. (2006). Nonparametric adaptive opportunity-based replacement strategies. Journal of the Operational Research Society, 57(1), 63-81. https://doi.org/10.1057/palgrave.jors.2601954
• Bayesian reliability demonstration with multiple independent tasks.
  
  Coolen, F., Coolen-Schrijner, P., & Rahrouh, M. (2005). Bayesian reliability demonstration with multiple independent tasks. IMA Journal of Management Mathematics, 17(2), 131-142. https://doi.org/10.1093/imaman/dpi030
• Bayesian reliability demonstration for failure-free periods
  
  Coolen, F., Coolen-Schrijner, P., & Rahrouh, R. (2005). Bayesian reliability demonstration for failure-free periods. Reliability Engineering and System Safety, 88(1), 81-91. https://doi.org/10.1016/j.ress.2004.07.015
• Nonparametric predictive reliability demonstration for failure-free periods
  
  Coolen, F., & Coolen-Schrijner, P. (2005). Nonparametric predictive reliability demonstration for failure-free periods. IMA Journal of Management Mathematics, 16(1), 1-11. https://doi.org/10.1093/imaman/dph025
• Nonparametric predictive inference with right-censored data
  
  Coolen, F., & Yan, K. (2004). Nonparametric predictive inference with right-censored data. Journal of Statistical Planning and Inference, 126(1), 25-54. https://doi.org/10.1016/j.jspi.2003.07.004
• Nonparametric predictive inference and interval probability
  
  Augustin, T., & Coolen, F. (2004). Nonparametric predictive inference and interval probability. Journal of Statistical Planning and Inference, 124(2), 251-272. https://doi.org/10.1016/j.jspi.2003.07.003
• A nonparametric predictive method for queues.
  
  Coolen, F., & Coolen-Schrijner, P. (2003). A nonparametric predictive method for queues. European Journal of Operational Research, 145(2), 425-442. https://doi.org/10.1016/s0377-2217%2802%2900179-0
• Nonparametric predictive inference in reliability.
  
  Coolen, F., Coolen-Schrijner, P., & Yan, K. (2002). Nonparametric predictive inference in reliability. Reliability Engineering and System Safety, 78(2), 185-193. https://doi.org/10.1016/s0951-8320%2802%2900162-x
• Bayesian Graphical Models for Software Testing
  
  Wooff, D., Goldstein, M., & Coolen, F. (2002). Bayesian Graphical Models for Software Testing. IEEE Transactions on Software Engineering, 28(5), 510-525. https://doi.org/10.1109/tse.2002.1000453
• Condition monitoring: a new perspective
  
  Coolen, F., & Coolen-Schrijner, P. (2000). Condition monitoring: a new perspective. Journal of the Operational Research Society, 51, 311-319.
• Low structure imprecise predictive inference for Bayes' problem
  
  Coolen, F. (1998). Low structure imprecise predictive inference for Bayes’ problem. Statistics and Probability Letters, 36, 349-357.
• An imprecise Dirichlet model for Bayesian analysis of failure data including right-censored observations
  
  Coolen, F. (1997). An imprecise Dirichlet model for Bayesian analysis of failure data including right-censored observations. Reliability Engineering and System Safety, 56, 61-68.