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

Chapter in book

• 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
• Aslett, L. J. (2022). Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers. In L. J. Aslett, F. P. Coolen, & J. De Bock (Eds.), Uncertainty in Engineering (15-35). Springer. https://doi.org/10.1007/978-3-030-83640-5_2
• 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 (23-37). Springer Verlag. https://doi.org/10.1007/978-3-030-74556-1_2
• 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 (213-243). Wiley. https://doi.org/10.1002/9781119357056.ch8

Conference Paper

• Troffaes, M. C., & Destercke, S. (2011). Probability boxes on totally preordered spaces for multivariate modelling. In F. Coolen, G. de Cooman, T. Fetz, & M. Oberguggenberger (Eds.),
• Troffaes, M. C., & Hable, R. (2011). Robustness of Natural Extension. In F. Coolen, G. de Cooman, T. Fetz, & M. Oberguggenberger (Eds.),
• Troffaes, M. C., & Gosling, J. P. (2011). Robust detection of exotic infectious diseases in animal herds: A comparative study of two decision methodologies under severe uncertainty. In F. Coolen, G. de Cooman, T. Fetz, & M. Oberguggenberger (Eds.),
• Huntley, N., & Troffaes, M. C. (2011). Dynamic Programming and Subtree Perfectness for Deterministic Discrete-Time Systems with Uncertain Rewards. In F. Coolen, G. de Cooman, T. Fetz, & M. Oberguggenberger (Eds.),
• 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

Conference Proceeding

• 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 (207-214)

Edited book

• 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

• 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
• 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
• 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
• 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
• Luhayb, A. S. M. A., Coolen, F. P., & Coolen-Maturi, T. (2023). Smoothed Bootstrap for Right-Censored Data. Communications in Statistics - Theory and Methods, https://doi.org/10.1080/03610926.2023.2171708
• 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, Article 115364. https://doi.org/10.1016/j.cam.2023.115364
• 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
• Coolen, F. (2023). Discussion of specifying prior distributions in reliability applications. Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2799
• 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
• 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
• 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
• 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
• Qin, J., & Coolen, F. (2022). Survival signature for reliability evaluation of a multi-state system with multi-state components. Reliability Engineering & System Safety, 218(Part A), Article 108129. https://doi.org/10.1016/j.ress.2021.108129
• Kovalev, M., Utkin, L., Coolen, F., & Konstantinov, A. (2022). Counterfactual explanation of machine learning survival models. Informatica: An International Journal, 32(4), 817-847. https://doi.org/10.15388/21-infor468
• 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 & System Safety, 216, Article 108007. https://doi.org/10.1016/j.ress.2021.108007
• 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
• Coolen-Maturi, T., Coolen, F. P., & Balakrishnan, N. (2021). The joint survival signature of coherent systems with shared components. Reliability Engineering & System Safety, 207, Article 107350. https://doi.org/10.1016/j.ress.2020.107350
• 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
• 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
• 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
• Li, Y., Coolen, F., & Zhu, C. (2020). A practical reliability design method considering the compound weight and load-sharing. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 127, 17-32. https://doi.org/10.1016/j.ijar.2020.09.001
• 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
• 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: Uncertainty in Intelligent Systems, 123, 55-76. https://doi.org/10.1016/j.ijar.2020.04.007
• 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
• 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
• 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
• 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
• 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
• Ahmed, S., Shabbir, J., Gupta, S., & Coolen, F. (2020). Estimation of small area total with randomized data. Revstat Statistical Journal, 18(2), 223-235
• 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
• 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
• 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
• 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
• Huang, X., Aslett, L. J., & Coolen, F. P. (2019). Reliability analysis of general phased mission systems with a new survival signature. Reliability Engineering & System Safety, 189, 416-422. https://doi.org/10.1016/j.ress.2019.04.019
• 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
• 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
• 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
• Huang, X., Coolen, F., & Coolen-Maturi, T. (2019). A heuristic survival signature based approach for reliability-redundancy allocation. Reliability Engineering & System Safety, 185, 511-517. https://doi.org/10.1016/j.ress.2019.02.010
• 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
• 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
• 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
• 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
• 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
• 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
• 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), 399-413. https://doi.org/10.1002/asmb.2420
• Utkin, L., & Coolen, F. (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. (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
• 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
• Utkin, L., & Coolen, F. (2018). A robust weighted SVR-based software reliability growth model. Reliability Engineering & System Safety, 176, 93-101. https://doi.org/10.1016/j.ress.2018.04.007
• 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
• 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
• Eryilmaz, S., Coolen, F., & Coolen-Maturi, T. (2018). Marginal and joint reliability importance based on survival signature. Reliability Engineering & System Safety, 172, 118-128. https://doi.org/10.1016/j.ress.2017.12.002
• 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
• 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
• Yin, Y., Coolen, F., & Coolen-Maturi, T. (2017). An imprecise statistical method for accelerated life testing using the power-Weibull model. Reliability Engineering & System Safety, 167, 158-167. https://doi.org/10.1016/j.ress.2017.05.045
• 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
• 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
• 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
• Patelli, E., Feng, G., Coolen, F., & Coolen-Maturi, T. (2017). Simulation Methods for System Reliability Using the Survival Signature. Reliability Engineering & System Safety, 167, 327-337. https://doi.org/10.1016/j.ress.2017.06.018
• Walter, G., Aslett, L., & Coolen, F. (2017). Bayesian nonparametric system reliability using sets of priors. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 80(1), 67-88. https://doi.org/10.1016/j.ijar.2016.08.005
• Coolen, F., & Coolen-Maturi, T. (2016). On the structure function and survival signature for system reliability. Safety and Reliability, 36(2), 77-87. https://doi.org/10.1080/09617353.2016.1219936
• Coolen, F., & Coolen-Maturi, T. (2016). The structure function for system reliability as predictive (imprecise) probability. Reliability Engineering & System Safety, 154, 180-187. https://doi.org/10.1016/j.ress.2016.06.008
• 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
• Feng, G., Patelli, E., Beer, M., & Coolen, F. (2016). Imprecise system reliability and component importance based on survival signature. Reliability Engineering & System Safety, 150, 116-125. https://doi.org/10.1016/j.ress.2016.01.019
• 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
• 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
• 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
• Utkin, L., Coolen, F., & Gurov, S. (2015). Imprecise inference for warranty contract analysis. Reliability Engineering & System Safety, 138, 31-39. https://doi.org/10.1016/j.ress.2015.01.011
• 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
• Coolen, F., & Coolen-Maturi, T. (2015). Predictive inference for system reliability after common-cause component failures. Reliability Engineering & System Safety, 135, 27-33. https://doi.org/10.1016/j.ress.2014.11.005
• Utkin, L., & Coolen, F. (2015). Imprecise individual risk models of insurance. Journal of uncertain systems, 9(3), 198-214
• 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
• 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
• Coolen-Maturi, T., & Coolen, F. (2014). Nonparametric predictive inference for combined competing risks data. Reliability Engineering & System Safety, 126, 87-97. https://doi.org/10.1016/j.ress.2014.01.007
• 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
• 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
• 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 & System Safety, 131, 298-304. https://doi.org/10.1016/j.ress.2014.04.010
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Augustin, T., Coolen, F. P., Moral, S., & Troffaes, M. C. (2010). Imprecise probability in statistical inference and decision making. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 51(9), 1011-1013. https://doi.org/10.1016/j.ijar.2010.08.001
• 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
• 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
• Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2010). Nonparametric predictive comparison of lifetime data under progressive censoring. Journal of Statistical Planning and Inference, 140(2), https://doi.org/10.1016/j.jspi.2009.07.027
• 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
• 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
• 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
• 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
• 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
• 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: Uncertainty in Intelligent Systems, 50(2), 257-268. https://doi.org/10.1016/j.ijar.2008.03.013
• 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
• 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
• 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
• Maturi, T., Coolen-Schrijner, P., & Coolen, F. (2009). Nonparametric predictive pairwise comparison for real-valued data with terminated tails. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 51(1), 141-150. https://doi.org/10.1016/j.ijar.2009.09.005
• 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
• 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
• 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
• 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: Uncertainty in Intelligent Systems, 50(2), 217-230. https://doi.org/10.1016/j.ijar.2008.03.011
• 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
• 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
• 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
• 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
• 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
• 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
• Coolen, F., Coolen-Schrijner, P., & Rahrouh, R. (2005). Bayesian reliability demonstration for failure-free periods. Reliability Engineering & System Safety, 88(1), 81-91. https://doi.org/10.1016/j.ress.2004.07.015
• 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
• 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
• 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
• 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
• 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
• Coolen, F., Coolen-Schrijner, P., & Yan, K. (2002). Nonparametric predictive inference in reliability. Reliability Engineering & System Safety, 78(2), 185-193. https://doi.org/10.1016/s0951-8320%2802%2900162-x
• 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
• 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