The Weibull lifetime model with randomised failure-free time
Author:
Affiliation:
1. Institute of Exact and Technical Sciences , Pomeranian University , Poland .
2. Institute of Automatic Control and Robotics , Poznan University of Technology , Poland .
Abstract
Publisher
Polskie Towarzystwo Statystyczne
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.sciendo.com/pdf/10.2478/stattrans-2022-0042
Reference32 articles.
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2. Ahrens, J. H., Dieter, U. (1974). Computer methods for sampling from gamma, beta, poisson and binomial distributions. Computing, 12, pp. 223–246.10.1007/BF02293108
3. Alamlki, S. J.,Nadarajah, S., (2014)., Modifications of the Weibull distribution: a review. Reliability Engineering and System Safety, 124, pp. 32–55.10.1016/j.ress.2013.11.010
4. Balakrishnan, N., Ristic, M. M., (2016). Multivariate families of gamma-generated distributions with finite or infinite support above or below the diagonal, Journal of Multivariate Analysis, 143, pp. 194–207.
5. Drapella, A., (1993). Complementary Weibull distribution: Unknown or just forgotten. Quality and Reliability Engineering International, 9, pp. 383–385.10.1002/qre.4680090426
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