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Outputs (142)

Bayesian reliability demonstration with multiple independent tasks. (2005)
Journal Article
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

We consider optimal testing of a system in order to demonstrate reliability with regard to its use in a process after testing, where the system has to function for different types of tasks, which we assume to be independent. We explicitly assume that... Read More about Bayesian reliability demonstration with multiple independent tasks..

Bayesian reliability demonstration for failure-free periods (2005)
Journal Article
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

We study sample sizes for testing as required for Bayesian reliability demonstration in terms of failure-free periods after testing, under the assumption that tests lead to zero failures. For the process after testing, we consider both deterministic... Read More about Bayesian reliability demonstration for failure-free periods.

Adaptive (opportunity-based) age replacement strategies (2004)
Presentation / Conference Contribution
Coolen, F., Coolen-Schrijner, P., & Shaw, S. (2004, December). Adaptive (opportunity-based) age replacement strategies. Presented at 5th IMA International Conference on Modelling in Industrial Maintenance and Reliability, Salford

Nonparametric predictive inference with right-censored data (2004)
Journal Article
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

We present a new method of statistical inference for data that include right-censored observations. The method is based on Hill's A(n), a generalization of this assumption is introduced explicitly to deal with right-censored observations. We derive b... Read More about Nonparametric predictive inference with right-censored data.

Nonparametric predictive inference and interval probability (2004)
Journal Article
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

The assumption A(n), proposed by Hill (J. Amer. Statist. Assoc. 63 (1968) 677), provides a natural basis for low structure non-parametric predictive inference, and has been justified in the Bayesian framework. This paper embeds A(n)-based inference i... Read More about Nonparametric predictive inference and interval probability.

A nonparametric predictive method for queues. (2003)
Journal Article
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

This paper presents a novel statistical approach to queues. Instead of studying characteristics of an assumed parametric stochastic model, the method uses information in the form of observed service times per queue and, while adding a minimum of addi... Read More about A nonparametric predictive method for queues..

Nonparametric predictive inference in reliability. (2002)
Journal Article
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

We introduce a recently developed statistical approach, called nonparametric predictive inference (NPI), to reliability. Bounds for the survival function for a future observation are presented. We illustrate how NPI can deal with right-censored data,... Read More about Nonparametric predictive inference in reliability..

Bayesian Graphical Models for Software Testing (2002)
Journal Article
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

This paper describes a new approach to the problem of software testing. The approach is based on Bayesian graphical models and presents formal mechanisms for the logical structuring of the software testing problem, the probabilistic and statistical t... Read More about Bayesian Graphical Models for Software Testing.

Condition monitoring: a new perspective (2000)
Journal Article
Coolen, F., & Coolen-Schrijner, P. (2000). Condition monitoring: a new perspective. Journal of the Operational Research Society, 51, 311-319