In this paper, the well-known proportional hazards model which includes several well-known lifetime distributions such as exponential,
Pareto, Lomax, Burr type XII, and so on is considered. With both Bayesian and non-Bayesian approaches , we consider the estimation of parameters of interest based on progressively Type-II right censored samples. The Bayes estimates are obtained based on symmetric and asymmetric loss functions. We also provide Bayes and empirical Bayes prediction intervals for the times to failure of units censored in multiple stages in a progressively censored sample. Finally, two numerical examples are given to illustrate the results.
Asgharzadeh,A. and Valiollahi,R. (2022). Inference for the Proportional Hazards Family under Progressive Type-II Censoring. Journal of the Iranian Statistical Society, 8(1), 35-53.
MLA
Asgharzadeh,A. , and Valiollahi,R. . "Inference for the Proportional Hazards Family under Progressive Type-II Censoring", Journal of the Iranian Statistical Society, 8, 1, 2022, 35-53.
HARVARD
Asgharzadeh A., Valiollahi R. (2022). 'Inference for the Proportional Hazards Family under Progressive Type-II Censoring', Journal of the Iranian Statistical Society, 8(1), pp. 35-53.
CHICAGO
A. Asgharzadeh and R. Valiollahi, "Inference for the Proportional Hazards Family under Progressive Type-II Censoring," Journal of the Iranian Statistical Society, 8 1 (2022): 35-53,
VANCOUVER
Asgharzadeh A., Valiollahi R. Inference for the Proportional Hazards Family under Progressive Type-II Censoring. JIRSS, 2022; 8(1): 35-53.
Journal of the Iranian Statistical Society