Estimation of the Parameters of Type-II Discrete Weibull Distribution Under Type-I Censoring
Mohamed S. A. Muiftah and
Samir K. Ashour
International Journal of Statistics and Probability, 2021, vol. 10, issue 5, 1
Abstract:
Maximum likelihood and proportion estimators of the parameters of the discrete Weibull type II distribution with type I censored data are discussed. A simulation study is performed to generate data from this distribution for suggested values of its parameters and to get the Maximum likelihood estimates of the parameters numerically. The method of proportions suggested by Khan et al. (1989) is also used to estimate the model's parameters. Numerical examples are used to perform a comparison study between the two method results according the values of the estimates and their corresponding mean squared errors.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/ijsp/article/download/0/0/45791/48716 (application/pdf)
https://ccsenet.org/journal/index.php/ijsp/article/view/0/45791 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijspjl:v:10:y:2021:i:5:p:1
Access Statistics for this article
More articles in International Journal of Statistics and Probability from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().