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Journal ArticleDOI

On progressively censored generalized exponential distribution

TLDR
In this paper, the authors considered the statistical inference of the unknown parameters of the generalized exponential distribution in presence of progressive censoring and obtained maximum likelihood estimators of unknown parameters using EM algorithm.
Abstract
In this paper, we consider the statistical inference of the unknown parameters of the generalized exponential distribution in presence of progressive censoring. We obtain maximum likelihood estimators of the unknown parameters using EM algorithm. We also compute the expected Fisher information matrix using the missing value principle. We then use these values to determine the optimal progressive censoring plans. Different optimality criteria are considered, and selected optimal progressive censoring plans are presented. One example has been provided for illustrative purposes.

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Citations
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Journal ArticleDOI

Progressively Type-II censored competing risks data from Lomax distributions

TL;DR: It turns out that the optimal censoring scheme depends on the particular parametrization of the Lomax distributions.
Journal ArticleDOI

A new exponential-type distribution with constant, decreasing, increasing, upside-down bathtub and bathtub-shaped failure rate function

TL;DR: A new three-parameter exponential-type family of distributions which can be used in modeling survival data, reliability problems and fatigue life studies is introduced and maximum likelihood estimation of the unknown parameters of the new model for complete sample as well as for censored sample is discussed.
Journal ArticleDOI

Reliability estimation in generalized inverted exponential distribution with progressively type II censored sample

TL;DR: Abouammoh and Alshingiti as discussed by the authors considered a generalization of inverted exponential distribution as a lifetime model and derived the maximum likelihood estimation of the two parameters involved along with reliability and failure rate functions.
Journal ArticleDOI

On progressively censored competing risks data for Weibull distributions

TL;DR: The maximum likelihood and approximate maximum likelihood estimates of the unknown parameters are obtained and the observed Fisher information matrix is computed using the missing information principles, and the asymptotic confidence intervals are computed.
Journal ArticleDOI

Bayesian inference and life testing plans for generalized exponential distribution

TL;DR: In this article, Bayesian inference of the unknown parameters of the progressively censored generalized exponential distribution has been dealt with, where the scale and the shape parameters have independent gamma priors.
References
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Book

Statistical Models and Methods for Lifetime Data

TL;DR: Inference procedures for Log-Location-Scale Distributions as discussed by the authors have been used for estimating likelihood and estimating function methods. But they have not yet been applied to the estimation of likelihood.
Book

Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables

TL;DR: A handbook of mathematical functions that is designed to provide scientific investigations with a comprehensive and self-contained summary of the mathematical functions arising in physical and engineering problems is presented in this article.