JDS

Journal of Data Science

1680-743X 1680-743X

SOSRUC

NO2-9

10.6339/JDS.202004_18(2).0009

Research Article

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

Abo-Kasem

O.E.

Department of Statistics, Faculty of Commerce, Zagazig University, Egypt. Nassa

Mazen

1 Department of Statistics, Faculty of Commerce, Zagazig University, Egypt. 2 Department of Statistics, Faculty of Science, King Abdulaziz University, Kingdom of Saudia Arabia.

18 2 376 389

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.

Keywords Joint progressive Type-I censored scheme Maximum likelihood estimation Confidence bounds