Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Manal M. Nassar"'
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :357-372
This paper develops Bayesian estimation and prediction, for a mixture of Weibull and Lomax distributions, in the context of the new life test plan called progressive first failure censored samples. Maximum likelihood estimation and Bayes estimation,
Autor:
Manal M. Nassar
Publikováno v:
Communications in Statistics - Theory and Methods. 35:1957-1962
In the present article, we give some theorems to characterize the mixture of two generalized power function distributions based on conditional expectation of order statistics.
Autor:
Manal M. Nassar
Publikováno v:
Statistical Papers. 46:281-292
In this paper, the hyperexponential distribution is characterized using relationships between two moments of order statistics. Also another characterization is introduced by considering the conditional expected spacings of order statistics.
Autor:
Fathy H. Eissa, Manal M. Nassar
Publikováno v:
Communications in Statistics - Theory and Methods. 33:2343-2362
In this article, Bayes estimates of the two shape parameters, reliability, and failure rate functions of the exponentiated Weibull lifetime model are derived from complete and type II censored samples. When the Bayesian aproach is considered, conjuga
Autor:
Fathy H. Eissa, Manal M. Nassar
Publikováno v:
Communications in Statistics - Theory and Methods. 32:1317-1336
The important extension of the Weibull family—the exponentiated Weibull distribution—is reviewed with various new statistical measures. An explicit expression for the mode is derived and a comparison between the authors'and Mudholkar and Hutson's
Autor:
Manal M. Nassar
Publikováno v:
Pakistan Journal of Statistics and Operation Research; Vol. 12 No. 4, 2016; 609-624
Pakistan Journal of Statistics and Operation Research, Vol 12, Iss 4, Pp 609-624 (2016)
Pakistan Journal of Statistics and Operation Research, Vol 12, Iss 4, Pp 609-624 (2016)
A generalized Laplace distribution using the Kumaraswamy distribution is introduced. Different structural properties of this new distribution are derived, including the moments, and the moment generating function. We discuss maximum likelihood estima