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Estimation for the generalized Gompertz distribution of hybrid progressive censored samples
Journal article   Peer reviewed

Estimation for the generalized Gompertz distribution of hybrid progressive censored samples

Journal of intelligent & fuzzy systems, Vol.38(3), pp.2693-2702
01/01/2020

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
In this paper, Bayesian and non Bayesian methods are adapted to determined interval and point estimations under Type-I hybrid Progressively censored for generalized Gompertz distribution. The special case from MCMC adjust Metropolis-Hastings within Gibbs sampling in the case Bayesian procedure is used to solve the double integrations. Numerical examples including generation data sets are shown to make a conclusion on methods estimations used here.

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