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Estimation of the scale parameter of the Rayleigh distribution with multiply type-II censored sample. (English) Zbl 1183.62170

Summary: Based on a multiply type-II censored sample, the maximum likelihood estimator (MLE) and Bayes estimator for the scale parameter and the reliability function of the Rayleigh distribution are derived. However, since the MLE does not exist in explicit form, an approximate MLE, which is the maximizer of an approximate likelihood function, will be given. The comparisons among estimators are investigated through Monte Carlo simulations. An illustrative example with the real data concerning the 23 ball bearing in the life test is presented.

MSC:

62N02 Estimation in survival analysis and censored data
62N01 Censored data models
62F15 Bayesian inference
62F10 Point estimation
65C05 Monte Carlo methods
Full Text: DOI

References:

[1] Polovko A. M., Fundamentals of Reliability Theory (1968) · Zbl 0187.16503
[2] DOI: 10.1109/TR.1973.5216019 · doi:10.1109/TR.1973.5216019
[3] DOI: 10.2307/1266598 · doi:10.2307/1266598
[4] DOI: 10.1109/24.44181 · Zbl 0709.62642 · doi:10.1109/24.44181
[5] DOI: 10.1016/S0167-7152(00)00021-3 · Zbl 0955.62103 · doi:10.1016/S0167-7152(00)00021-3
[6] DOI: 10.1080/00949650214670 · doi:10.1080/00949650214670
[7] DOI: 10.1002/asmb.615 · Zbl 1114.62028 · doi:10.1002/asmb.615
[8] Leiblein J., J. Res. National Bureau Standards 57 pp 273– (1952) · doi:10.6028/jres.057.033
[9] Lawless J. F., Statistical Models and Methods for Lifetime Data (1982) · Zbl 0541.62081
[10] Jeffreys H., Theory of Probability (1961) · Zbl 0116.34904
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