Results 11 to 20 of about 25,160 (214)

The Entropy of Progressively Censored Samples

open access: yesEntropy, 2011
In many life-testing and reliability studies, the experimenter might not always obtain complete information on failure times for all experimental units.
Z. A. Abo-Eleneen
doaj   +1 more source

Entropy Estimation of Generalized Half-Logistic Distribution (GHLD) Based on Type-II Censored Samples

open access: yesEntropy, 2014
This paper derives the entropy of a generalized half-logistic distribution based on Type-II censored samples, obtains some entropy estimators by using Bayes estimators of an unknown parameter in the generalized half-logistic distribution based on Type-II
Jung-In Seo, Suk-Bok Kang
doaj   +1 more source

Bayesian Estimation of a New Pareto-Type Distribution Based on Mixed Gibbs Sampling Algorithm

open access: yesMathematics, 2023
In this paper, based on the mixed Gibbs sampling algorithm, a Bayesian estimation procedure is proposed for a new Pareto-type distribution in the case of complete and type II censored samples.
Fanqun Li, Shanran Wei, Mingtao Zhao
doaj   +1 more source

Reliability estimation from Topp Leone smixture distribution using optimal progressive censoring schemes: A Bayesian approach

open access: yesAlexandria Engineering Journal, 2020
The progressive type II censoring has been frequently used for reliability estimation from the different standard time-to-death models during the last two decades. It has been recently introduced for the estimation of mixture models; however the analysis
Navid Feroze, Muhammad Aslam
doaj   +1 more source

A Note on the Estimation of the Parameters of the Two Parameter Exponential Distribution from Progressively Censored Samples [PDF]

open access: yesThe Egyptian Statistical Journal, 1977
This note is concerned with the maximum likelihood estimation of the parameters of the two-parameter exponential distribution from Progressively censored type II samples.
P.W. Jones, S.K. Ashour
doaj   +1 more source

Survival analysis based on doubly type-II censored samples

open access: yesKashmir Journal of Science, 2022
This study emphasis the Bayesian analysis for survival data using Frechet distribution based on doubly type-II censored samples, when some of the sample values might have been contaminated at either or both extremes, because in a clinical disease the ...
Rijah Khan   +2 more
doaj  

On Estimating the Parameters of the Beta Inverted Exponential Distribution under Type-II Censored Samples

open access: yesMathematics, 2022
This article aims to consider estimating the unknown parameters, survival, and hazard functions of the beta inverted exponential distribution. Two methods of estimation were used based on type-II censored samples: maximum likelihood and Bayes estimators.
Maha A. Aldahlan   +2 more
doaj   +1 more source

Progressive censoring schemes for marshall-olkin pareto distribution with applications: Estimation and prediction.

open access: yesPLoS ONE, 2022
In this paper two prediction methods are used to predict the non-observed (censored) units under progressive Type-II censored samples. The lifetimes of the units follow Marshall-Olkin Pareto distribution.
R Alshenawy   +2 more
doaj   +3 more sources

Statistical inferences with jointly type-II censored samples from two Pareto distributions

open access: yesOpen Physics, 2017
In the several fields of industries the product comes from more than one production line, which is required to work the comparative life tests. This problem requires sampling of the different production lines, then the joint censoring scheme is ...
Abu-Zinadah Hanaa H.
doaj   +1 more source

Right Truncated Lomax Distribution: Properties and Estimation [PDF]

open access: yesThe Egyptian Statistical Journal, 2021
In this paper, we propose the truncated Lomax distribution. Fundamental properties of the new distribution are studied such as; moments, moment generating and characteristic function, quantile function, incomplete moments, Lorenz and Bonferroni curves ...
A. Elseherty, Mohamed Sabry
doaj   +1 more source

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