Staff profile

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

• Statistics

• 2017: H2020-Uncertainty treatment and optimisation in Aerospace Engineering (UTOPIAE)(£360691.58 from European Commission)

• 0000: 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; European Journal of Technology and Design; ;Journal of the Polish Safety and Reliability Association; TransNav.

Chapter in book

• Coolen, Frank P. A. & Coolen‐Maturi, Tahani (2022). Survival Signatures for System Reliability. In Wiley StatsRef: Statistics Reference Online.
• Coolen, F.P.A. & Coolen-Maturi, T. (2021). The survival signature for quantifying system reliability: an introductory overview from practical perspective. In Reliability Engineering and Computational Intelligence. van Gulijk, C. & Zaitseva, E. Springer. 976: 23-37.
• Wooff, D.A., Goldstein, M. & Coolen, F.P.A. (2018). Bayesian graphical models for high complexity testing: aspects of implementation. In Analytic Methods in Systems and Software Testing. Kenett, R.S., Ruggeri, F. & Faltin, F.W. Hoboken, NJ, USA: Wiley. 213-243.

Conference Paper

• Coolen, F., Coolen-Schrijner, P. & Shaw, S. (2004), Adaptive (opportunity-based) age replacement strategies, in Newby, Martin, Scarf, P. A. & Wang, Wenbin eds, 5th IMA International Conference on Modelling in Industrial Maintenance and Reliability. Salford, Institute of Mathematics and its Applications.

Edited book

• L.J.M. Aslett, F.P.A. Coolen & J. De Bock (2022). Uncertainty in Engineering - Introduction to Methods and Applications. SpringerBriefs in Statistics. Springer.

Journal Article

• Coolen-Maturi, T. & Coolen, F.P.A. (2023). A monotonicity property of weighted log-rank tests. Communications in Statistics – Theory and Methods 52(7): 2402-2416.
• Chang, M., Coolen, F.P.A., 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
• Rusnak, P., Zaitseva, E. Coolen, F.P.A. 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.
• Coolen, Frank P. A., Coolen‐Maturi, Tahani & van Houtum, Geert‐Jan (2023). Discussion of signature‐based models of preventive maintenance. Applied Stochastic Models in Business and Industry 39(1): 68-70.
• Asamh Saleh M. Al Luhayb, Frank P.A. Coolen & Tahani Coolen-Maturi (2023). Smoothed Bootstrap for Right-Censored Data. Communications in Statistics - Theory and Methods
• Al Luhayb, A.S.M., Coolen-Maturi, T. & Coolen, F.P.A. (2023). Smoothed bootstrap methods for bivariate data. Journal of Statistical Theory and Practice
• Chang, Miaoxin, Huang, Xianzhen, Coolen, F. P. A. & Coolen-Maturi, Tahani (2023). New reliability model for complex systems based on stochastic processes and survival signature. European Journal of Operational Research
• Moral-Garcia, S., Abellan, J., Coolen-Maturi, T. & Coolen, F.P.A. (2022). A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Applied Soft Computing 123: 108916.
• He, T., Coolen, F.P.A. & 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.
• Qin, J. & Coolen, F.P.A. (2022). Survival signature for reliability evaluation of a multi-state system with multi-state components. Reliability Engineering and System Safety 218: 108129.
• Simkus, A., Coolen, F. P. A., Coolen-Maturi, T., Karp, N. A. & Bendtsen, C. (2022). Statistical reproducibility for pairwise t-tests in pharmaceutical research. Statistical Methods in Medical Research 31(4): 673-688.
• Kovalev, M., Utkin, L., Coolen, F. & Konstantinov, A. (2021). Counterfactual explanation of machine learning survival models. Informatica 32(4): 817-847.
• Chang, M., Huang, X., Coolen, F.P.A. & 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: 108007.
• Coolen, F.P.A., Ahmadini, A.A.H. & Coolen-Maturi, T. (2021). Imprecise inference based on the log-rank test for accelerated life testing. Metrika 84: 913-925.
• Coolen-Maturi, T., Coolen, Frank P.A. & Balakrishnan, Narayanaswamy (2021). The joint survival signature of coherent systems with shared components. Reliability Engineering and System Safety 207: 107350.
• Utkin, L.V. & Coolen, F.P.A. (2021). A new boosting-based software reliability growth model. Communications in Statistics - Theory and Methods 50(24): 6167-6194.
• Alabdulhadi, M., Coolen-Maturi, T. & Coolen, F.P.A. (2021). Nonparametric predictive inference for comparison of two diagnostic tests. Communications in Statistics - Theory and Methods 50(19): 4470-4486.
• He, T., Coolen, F.P.A. & 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.
• Li, Y., Coolen, F.P.A. & Zhu, C. (2020). A practical reliability design method considering the compound weight and load-sharing. International Journal of Approximate Reasoning 127: 17-32.
• Coolen, F.P.A. & Marques, F.J. (2020). Nonparametric predictive inference for test reproducibility by sampling future data orderings. Journal of Statistical Theory and Practice 14(4): 62.
• Thach, T.T., Bris, R., Volf, P. & Coolen, F.P.A. (2020). Non-linear failure rate: A Bayes study using Hamiltonian Monte Carlo simulation. International Journal of Approximate Reasoning 123: 55-76.
• Ahmed, S., Shabbir, J., Gupta, S. & Coolen, F.P.A. (2020). Estimation of small area total with randomized data. REVSTAT - Statistical Journal 18(2): 223-235.
• Utkin, L.V., Kovalev, M.S. & Coolen, F.P.A. (2020). Imprecise weighted extensions of random forests for classification and regression. Applied Soft Computing 92: 106324.
• Coolen, F.P.A., 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): 020905.
• Li, Y., Coolen, F.P.A., 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.
• Ahmadini, A.A.H. & Coolen, F.P.A. (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.
• Coolen-Maturi, T., Coolen, F.P.A. & Alabdulhadi, M. (2020). Nonparametric predictive inference for diagnostic test thresholds. Communications in Statistics – Theory and Methods 49(3): 697-725.
• Huang, X., Coolen, F.P.A., 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.
• Coolen, F.P.A. & 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): 26.
• Chen, J., Coolen, F.P.A. & 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.
• Li, Y. & Coolen, F.P.A. (2019). Time-dependent reliability analysis of wind turbines considering load-sharing using fault tree analysis and Markov chains. Journal of Risk and Reliability 233(6): 1074-1085.
• Stanley, J. & Coolen, F.P.A. (2019). Applying prospect theory to multi-attribute problems with independence assumptions. Involve - A Journal of Mathematics 12(4): 687-711.
• Huang, Xianzhen, Aslett, Louis J.M. & Coolen, Frank P.A. (2019). Reliability analysis of general phased mission systems with a new survival signature. Reliability Engineering & System Safety 189: 416-422.
• Alabdulhadi, M.H., Coolen, F.P.A. & 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: 38.
• He, T., Coolen, F.P.A. & 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.
• Huang, X., Coolen, F.P.A. & Coolen-Maturi, T. (2019). A heuristic survival signature based approach for reliability-redundancy allocation. Reliability Engineering and System Safety 185: 511-517.
• George-Williams, H., Feng, G., Coolen, F.P.A., 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.
• Alqifari, H.N. & Coolen, F.P.A. (2019). Robustness of nonparametric predictive inference for future order statistics. Journal of Statistical Theory and Practice 13(1): 12.
• Marques, F.J., Coolen, F.P.A. & Coolen-Maturi, T. (2019). Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests. Journal of Statistical Theory and Practice 13: 15.
• Coolen-Maturi, T. & Coolen, F.P.A. (2019). Non‐parametric predictive inference for the validation of credit rating systems. Journal of the Royal Statistical Society: Series A 182(4): 1189-1204.
• Najem, A. & Coolen, F.P.A. (2019). System reliability and component importance when components can be swapped upon failure. Applied Stochastic Models in Business and Industry 35(3): 399-413.
• Marques, F.J., Coolen, F.P.A. & Coolen-Maturi, T. (2019). Approximations for the likelihood ratio statistic for hypothesis testing between two Beta distributions. Journal of Statistical Theory and Practice 13: 17.
• Utkin, L.V. & Coolen, F.P.A. (2018). Imprecise probabilistic inference for software run reliability growth models. Journal of Uncertain Systems 12(4): 292-308.
• Muhammad, N., Coolen-Maturi, T. & Coolen, F.P.A. (2018). Nonparametric predictive inference with parametric copulas for combining bivariate diagnostic tests. Statistics, Optimization and Information Computing 6(3): 398-408.
• Walter, G. & Coolen, F.P.A. (2018). Robust Bayesian reliability for complex systems under prior-data conflict. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 4(3): 04018025.
• Coolen, F.P.A. & Alqifari, H.N. (2018). Nonparametric predictive inference for reproducibility of two basic tests based on order statistics. REVSTAT - Statistical Journal 16(2): 167-185.
• Eryilmaz, S., Coolen, F.P.A. & Coolen-Maturi, T. (2018). Mean residual life of coherent systems consisting of multiple types of dependent components. Naval Research Logistics 65(1): 86-97.
• Huang, X. & Coolen, F.P.A. (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.
• Eryilmaz, S., Coolen, F.P.A. & Coolen-Maturi, T. (2018). Marginal and joint reliability importance based on survival signature. Reliability Engineering and System Safety 172: 118-128.
• Utkin, L.V. & Coolen, F.P.A. (2018). A robust weighted SVR-based software reliability growth model. Reliability Engineering and System Safety 176: 93-101.
• Qarmalah, Najla M., Einbeck, Jochen & Coolen, Frank P.A. (2018). k-Boxplots for mixture data. Statistical Papers 59(2): 513-528.
• Coolen, F.P.A., Coolen-Maturi, T. & Alqifari, H.N. (2018). Nonparametric predictive inference for future order statistics. Communications in Statistics - Theory and Methods 47(10): 2527-2548.
• Patelli,E., Feng,G., Coolen, F.P.A. & Coolen-Maturi,T. (2017). Simulation Methods for System Reliability Using the Survival Signature. Reliability Engineering & System Safety 167: 327-337.
• Yin, Y.-C., Coolen, F.P.A. & 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.
• Qarmalah, Najla M., Einbeck, Jochen & Coolen, Frank P.A. (2017). Mixture Models for Prediction from Time Series, with Application to Energy Use Data. Archives of Data Science Series A 2(1): 1-15.
• Baker, R.M., Coolen-Maturi, T. & Coolen, F.P.A. (2017). Nonparametric predictive inference for stock returns. Journal of Applied Statistics 44(8): 1333-1349.
• Wu, S., Coolen, F.P.A. & Liu, B. (2017). Optimisation of maintenance policy under parameter uncertainty using portfolio theory. IISE Transactions 49(7): 711-721.
• Walter, G., Aslett, L.J.M. & Coolen, F.P.A. (2017). Bayesian nonparametric system reliability using sets of priors. International Journal of Approximate Reasoning 80(1): 67-88.
• Coolen, F.P.A. & Coolen-Maturi, T. (2016). On the structure function and survival signature for system reliability. Safety and Reliability 36(2): 77-87.
• Coolen, F.P.A. & Coolen-Maturi, T. (2016). The structure function for system reliability as predictive (imprecise) probability. Reliability Engineering & System Safety 154: 180-187.
• Coolen-Maturi, T., Coolen, F.P.A. & 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.
• Feng, G., Patelli, E., Beer, M. & Coolen, F.P.A. (2016). Imprecise system reliability and component importance based on survival signature. Reliability Engineering & System Safety 150: 116-125.
• Houlding, B., Coolen, F.P.A. & Bolger, D. (2015). A conjugate class of utility functions for sequential decision problems. Risk Analysis 35(9): 1611-1622.
• Coolen, F.P.A. & Coolen-Maturi, T. (2015). Predictive inference for system reliability after common-cause component failures. Reliability Engineering & System Safety 135: 27-33.
• Aslett, L.J.M., Coolen, F.P.A. & Wilson, S.P. (2015). Bayesian inference for reliability of systems and networks using the survival signature. Risk Analysis 35(9): 1640-1651.
• Wang, B.X., Yu, K. & Coolen, F.P.A. (2015). Interval estimation for proportional reversed hazard family based on lower record values. Statistics & Probability Letters 98: 115-122.
• Utkin, L.V. & Coolen, F.P.A. (2015). Imprecise individual risk models of insurance. Journal of Uncertain Systems 9(3): 198-214.
• Utkin, L.V., Coolen, F.P.A. & Gurov, S.V. (2015). Imprecise inference for warranty contract analysis. Reliability Engineering & System Safety 138: 31-39.
• Coolen-Maturi, T. & Coolen, F.P.A. (2015). Nonparametric Predictive Inference with Combined Data Under Different Right-Censoring Schemes. Journal of Statistical Theory and Practice 9(2): 288-304.
• Coolen, F.P.A. Coolen-Maturi, T. & Al-nefaiee, A.H. (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.
• Coolen, F.P.A. & Bin Himd, S. (2014). Nonparametric predictive inference for reproducibility of basic nonparametric tests. Journal of Statistical Theory and Practice 8(4): 591-618.
• Coolen-Maturi, T., Elkhafifi, F.F. & Coolen, F.P.A. (2014). Three-group ROC analysis: a nonparametric predictive approach. Computational Statistics & Data Analysis 78: 69-81.
• Coolen-Maturi, T. & Coolen, F.P.A. (2014). Nonparametric predictive inference for combined competing risks data. Reliability Engineering & System Safety 126: 87-97.
• Aboalkhair, A.M., Coolen, F.P.A. & MacPhee, I.M. (2014). Nonparametric predictive inference for reliability of a k-out-of-m:G system with multiple component types. Reliability Engineering & System Safety 131: 298-304.
• Utkin, L.V. & Coolen, F.P.A. (2014). Classification with support vector machines and Kolmogorov-Smirnov bounds. Journal of Statistical Theory and Practice 8(2): 297-318.
• Abellán, J., Baker, R.M., Coolen, F.P.A., Crossman, R.J. & Masegosa, A.R. (2014). Classification with decision trees from a nonparametric predictive inference perspective. Computational Statistics & Data Analysis 71: 789-802.
• Wu, S. & Coolen, F.P.A. (2013). A cost-based importance measure for system components: An extension of the Birnbaum importance. European Journal of Operational Research 225(1): 189-195.
• Coolen, F.P.A. (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.
• Aboalkhair, A.M., Coolen, F.P.A. & MacPhee, I.M. (2013). Nonparametric predictive reliability of series of voting systems. European Journal of Operational Research 226(1): 77-84.
• Al-Nefaiee, A.H. & Coolen, F.P.A. (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.
• Coolen-Maturi, T., Coolen-Schrijner, P. & Coolen, F.P.A. (2012). Nonparametric predictive multiple comparisons of lifetime data. Communications in Statistics - Theory and Methods 41(22): 4164-4181.
• Coolen-Maturi, T., Coolen-Schrijner, P. & Coolen, F.P.A. (2012). Nonparametric predictive inference for binary diagnostic tests. Journal of Statistical Theory and Practice 6(4): 665-680.
• Coolen-Maturi, T., Coolen-Schrijner, P. & Coolen, F.P.A. (2012). Nonparametric predictive inference for diagnostic accuracy. Journal of Statistical Planning and Inference 142(5): 1141-1150.
• Coolen, F.P.A. & Al-nefaiee, A.H. (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.
• Elkhafifi, F.F. & Coolen, F.P.A. (2012). Nonparametric predictive inference for accuracy of ordinal diagnostic tests. Journal of Statistical Theory and Practice 6(4): 681-697.
• Houlding, B. & Coolen, F.P.A. (2012). Nonparametric predictive utility inference. European Journal of Operational Research 221(1): 222-230.
• Elsaeiti, M.A. & Coolen, F.P.A. (2012). A nonparametric predictive approach to sequential acceptance problems. Journal of Statistical Theory and Practice 6(3): 383-401.
• Coolen-Maturi, T, Coolen-Schrijner, P, & Coolen, F.P.A. (2011). Nonparametric predictive selection with early experiment termination. Journal of Statistical Planning and Inference 141(4): 1403-1421.
• Abellán, J, Baker, RM & Coolen, FPA (2011). Maximising entropy on the nonparametric predictive inference model for multinomial data. European Journal of Operational Research 212(1): 112-122.
• Coolen, F.P.A., Houlding, B. & Parkinson, S.G. (2011). Considerations on jury size and composition using lower probabilities. Journal of Statistical Planning and Inference 141(1): 382-391.
• Crossman, R.J., Coolen-Schrijner, P. & Coolen, F.P.A. (2011). The shape of the hazard rate for finite continuous-time birth–death processes. Statistics & Probability Letters 81(2): 181-187.
• Houlding, B & Coolen, FPA (2011). Adaptive utility and trial aversion. Journal of Statistical Planning and Inference 141(2): 734-747.
• Coolen-Maturi, T. & Coolen, F.P.A. (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.
• Roelofs, V.J., Coolen, F.P.A. & Hart, A.D.M. (2010). Nonparametric predictive inference for exposure assessment. Risk Analysis 31(2): 218-227.
• Maturi, TA, Coolen-Schrijner, P & Coolen, FPA (2010). Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference 140(2): 515–525.
• Coolen, F.P.A., Spinato, F. & Venkat, D. (2010). On modelling of grouped reliability data for wind turbines. IMA Journal of Management Mathematics 21(4): 363-372.
• Maturi, T.A., Coolen-Schrijner, P. & Coolen, F.P.A. (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.
• Utkin, L.V., Zatenko, S.I. & Coolen, F.P.A. (2010). New interval Bayesian models for software reliability based on non-homogeneous Poisson processes. Automation and Remote Control 71(5): 935-944.
• Baker, R.M. & Coolen, F.P.A. (2010). Nonparametric predictive category selection for multinomial data. Journal of Statistical Theory and Practice 4(3): 509-526.
• Augustin, Thomas, Coolen, Frank P. A., Moral, Serafín & Troffaes, Matthias C. M. (2010). Imprecise probability in statistical inference and decision making. International Journal of Approximate Reasoning 51(9): 1011-1013.
• Venkat, D., Coolen, F.P.A. & 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.
• Montgomery, V.J., Coolen, F.P.A. & Hart, A.D.M. (2009). Bayesian probability boxes in risk assessment. Journal of Statistical Theory and Practice 3(1): 69-83.
• Coolen-Schrijner, Pauline, Coolen, Frank P. A., Troffaes, Matthias C. M. & Augustin, Thomas (2009). Imprecision in Statistical Theory and Practice. Journal of Statistical Theory and Practice 3(1): 1-9.
• Coolen-Schrijner, P., Shaw, S.C. & Coolen, F.P.A. (2009). Opportunity-based age replacement with a one-cycle criterion. Journal of the Operational Research Society 60(10): 1428-1438.
• Coolen, F.P.A. & 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.
• Coolen-Schrijner, P., Maturi, T.A. & Coolen, F.P.A. (2009). Nonparametric predictive precedence testing for two groups. Journal of Statistical Theory and Practice 3(1): 273-287.
• Troffaes, Matthias & Coolen, Frank (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.
• Coolen, F.P.A. & Elsaeiti, M.A. (2009). Nonparametric predictive methods for acceptance sampling. Journal of Statistical Theory and Practice 3(4): 907-921.
• 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.
• Crossman, R.J., Coolen-Schrijner, P. & Coolen, F.P.A. (2009). Time-homogeneous birth-death processes with probability intervals and absorbing state. Journal of Statistical Theory and Practice 3(1): 103-118.
• MacPhee, I.M., Coolen, F.P.A. & Aboalkhair, A.M. (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.
• Arts, G.R.J. & Coolen, F.P.A. (2008). Two nonparametric predictive control charts. Journal of Statistical Theory and Practice 2(4): 499-512.
• Coolen-Schrijner, P., Coolen, F.P.A. & MacPhee, I.M. (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.
• Coolen, F.P.A. (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.
• Coolen, F. P. A. & Coolen-Schrijner, P. (2007). Nonparametric predictive comparison of proportions. Journal of Statistical Planning and Inference 137(1): 23-33.
• Coolen, F.P.A. (2006). On Nonparametric Predictive Inference and Objective Bayesianism. Journal of Logic, Language and Information 15(1-2): 21-47.
• Coolen-Schrijner, P., Coolen, F.P.A. & Shaw, S.C. (2006). Nonparametric adaptive opportunity-based replacement strategies. Journal of the Operational Research Society 57(1): 63-81.
• Coolen, F.P.A. & Coolen-Schrijner, P. (2005). Nonparametric predictive reliability demonstration for failure-free periods. IMA Journal of Management Mathematics 16(1): 1-11.
• Coolen, F., Coolen-Schrijner, P. & Rahrouh, M. (2005). Bayesian reliability demonstration with multiple independent tasks. IMA journal of management mathematics, 17(2): 131-142.
• Coolen, F. P. A., Coolen-Schrijner, P. & Rahrouh, R. (2005). Bayesian reliability demonstration for failure-free periods. Reliability Engineering & System Safety 88(1): 81-91.
• Augustin, T. & Coolen, F. P. A. (2004). Nonparametric predictive inference and interval probability. Journal of Statistical Planning and Inference 124(2): 251-272.
• Coolen, F. P. A. & Yan, K. J. (2004). Nonparametric predictive inference with right-censored data. Journal of Statistical Planning and Inference 126(1): 25-54.
• Coolen, F.P.A. & Coolen-Schrijner, P. (2003). A nonparametric predictive method for queues. European journal of operational research 145(2): 425-442.
• Coolen, F.P.A., Coolen-Schrijner, P. & Yan, K.J. (2002). Nonparametric predictive inference in reliability. Reliability engineering and system safety 78(2): 185-193.
• Wooff, D. A., Goldstein, M. & Coolen, F. P. A. (2002). Bayesian Graphical Models for Software Testing. IEEE Transactions on Software Engineering 28(5): 510-525.
• Coolen, F. & Coolen-Schrijner, P. (2000). Condition monitoring: a new perspective. Journal of the Operational Research Society 51: 311-319.
• Coolen, F. (1998). Low structure imprecise predictive inference for Bayes' problem. Statistics and Probability Letters 36: 349-357.
• 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.