Statistical Inference for K Exponential Populations Under Joint Progressive Type-I Censored Scheme

Journal of Data Science

article

O.E. Abo-Kasem¹  Mazen Nassa¹ 

[1] Department of Statistics, Faculty of Commerce, Zagazig University;Department of Statistics, Faculty of Science, King Abdulaziz University

关键词: Joint progressive Type-I censored scheme;    Maximum likelihood estimation;    Confidence bounds;   

DOI  :  10.6339/JDS.202004_18(2).0009

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

In this article, the maximum likelihood estimators of the k independent exponential populations parameters are obtained based on joint progressive type- I censored (JPC-I) scheme. The Bayes estimators are also obtained by considering three different loss functions. The approximate confidence, two Bootstrap confidence and the Bayes credible intervals for the unknown parameters are discussed. A simulated and real data sets are analyzed to illustrate the theoretical results.

【 授权许可】

CC BY