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pro vyhledávání: '"Kousik Maiti"'
Autor:
Kousik Maiti, Suchandan Kayal
Publikováno v:
Revstat Statistical Journal, Vol 21, Iss 4 (2023)
This article accentuates the estimation and prediction of a three-parameter exponentiated Gumbel type-II (EGT-II) distribution when the data are progressively type-II (PT-II) censored. We obtain maximum likelihood (ML) estimates using expectation max
Externí odkaz:
https://doaj.org/article/20a8024127cb43e9b654aebcfcef3a6a
Autor:
Kousik Maiti, Suchandan Kayal
Publikováno v:
Annals of Data Science. 10:89-128
Let a progressively type-II (PT-II) censored sample of size m is available. Under this set-up, we consider the problem of estimating unknown model parameters and two reliability characteristics of the log-logistic distribution. Maximum likelihood est
Autor:
Kousik Maiti, Suchandan Kayal
Publikováno v:
International Journal of Reliability, Quality and Safety Engineering. 29
This paper considers the estimation of the stress-strength parameter [Formula: see text] under progressive type-II censored samples, where [Formula: see text] is the strength and [Formula: see text] is the stress follow extended Chen distribution. It
Autor:
Kousik Maiti, Suchandan Kayal
Publikováno v:
International Journal of System Assurance Engineering and Management. 10:1276-1301
This paper takes into account the estimation of the unknown model parameters and the reliability characteristics for a generalized Frechet distribution under progressive type-II censored sample. Maximum likelihood estimates are obtained. We calculate
Autor:
Suchandan Kayal, Kousik Maiti
Publikováno v:
Communications in Statistics - Simulation and Computation. 50:3669-3698
In this article, we obtain maximum likelihood and Bayes estimates of the parameters, reliability and hazard functions for generalized Rayleigh distribution when progressive type-II censored sample ...