Bayesian estimation of rayleigh distribution in the presence of outliers using progressive censoring

Farzana Noor*, Ahthasham Sajid, Maha Ghazal, Imranullah Khan, Mehwish Zaman, Imran Baig

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

1 Dyfyniad (Scopus)

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In this article, Maximum likelihood estimation (MLE) and Bayesian estimation for Rayleigh distribution using progressive type-II censoring in the presence of outliers is considered. Inverse Gamma prior and Jeffreys prior are used for Bayesian estimation. Squared error loss function (SELF), precautionary loss function (PLF) and K-loss function (KLF) are used for obtaining the expressions of Bayes estimators and posterior risks. Credible intervals are also derived. A simulation study is presented to discuss the behavior of Bayes estimators. Applicability of the undertaken study is highlighted using three real data sets.

Iaith wreiddiolSaesneg
Tudalennau (o-i)2119-2133
Nifer y tudalennau15
CyfnodolynHacettepe Journal of Mathematics and Statistics
Cyfrol49
Rhif cyhoeddi6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 8 Rhag 2020
Cyhoeddwyd yn allanolIe

Dyfynnu hyn