期刊名称:Pakistan Journal of Statistics and Operation Research
印刷版ISSN:2220-5810
出版年度:2020
卷号:16
期号:1
页码:149-166
DOI:10.18187/pjsor.v16i1.3129
语种:English
出版社:College of Statistical and Actuarial Sciences
摘要:This paper addresses the estimation of the unknown parameters of the alphapower exponential distribution (Mahdavi and Kundu, 2017) using nine frequentist estimation methods. We discuss the nite sample properties of the parameterestimates of the alpha power exponential distribution via Monte Carlo simulations. The potentiality of the distribution is analyzed by means of two real datasets from the elds of engineering and medicine. Finally, we use the maximumlikelihood method to derive the estimates of the distribution parameters undercompeting risks data and analyze one real data set.
关键词:Alpha power transformation;hazard rate function;maximum likelihood estimation;method of maximum product spacing;simulation