Zobrazeno 1 - 10 of 25 pro vyhledávání: '"A. A. Modhesh"'
1
Bayesian Estimation of Entropy for Kumaraswamy Distribution and Its Application to Progressively First-Failure Censored Data
Autor: A. A. Modhesh, Abdulkareem M. Basheer
Publikováno v: Asian Journal of Probability and Statistics. 21:22-33
Entropy can be mathematically defined as a measure of the uncertainty of random variables that represents the potential quantity of information. This article investigates the behavior of the entropy of random variables which follow a Kumaraswamy dist
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5256d2b9db6dcf6ee52fefe9cd4ed79f
https://doi.org/10.9734/ajpas/2023/v21i4470
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6
Estimation from Burr type XII distribution using progressive first-failure censored data
Autor: A. A. Modhesh, N. A. Abou-Elheggag, Ahmed A. Soliman, A. H. Abd Ellah
Publikováno v: Journal of Statistical Computation and Simulation. 83:2270-2290
In this paper, a new life test plan called a progressively first-failure-censoring scheme introduced by Wu and Kus [On estimation based on progressive first-failure-censored sampling, Comput. Statist. Data Anal. 53(10) (2009), pp. 3659–3670] is con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::990a234e9df8bcbfc3d009de5378fc0d
https://doi.org/10.1080/00949655.2012.690157
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7
Estimation of the coefficient of variation for non-normal model using progressive first-failure-censoring data
Autor: A. A. Modhesh, A. H. Abd Ellah, Ahmed A. Soliman, N. A. Abou-Elheggag
Publikováno v: Journal of Applied Statistics. 39:2741-2758
The coefficient of variation (CV) is extensively used in many areas of applied statistics including quality control and sampling. It is regarded as a measure of stability or uncertainty, and can indicate the relative dispersion of data in the populat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc428306417cb75eb0cdb7bbaee58d27
https://doi.org/10.1080/02664763.2012.725466
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8
Bayesian Inference and Prediction of Burr Type XII Distribution for Progressive First Failure Censored Sampling
Autor: A. H. Abd Ellah, N. A. Abou-Elheggag, A. A. Modhesh, Ahmed A. Soliman
Publikováno v: Intelligent Information Management. :175-185
This paper deals with Bayesian inference and prediction problems of the Burr type XII distribution based on progressive first failure censored data. We consider the Bayesian inference under a squared error loss function. We propose to apply Gibbs sam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e84040c6b1af0670c1d4e2a020c9986
https://doi.org/10.4236/iim.2011.35021
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9
Estimation of a Discriminant Function Based on Small Sample Size from a Mixture of Two Gumbel Distributions
Autor: Z. F. Jaheen, K. E. Ahmad, A. A. Modhesh
Publikováno v: Communications in Statistics - Simulation and Computation. 39:713-725
The identifiability of finite mixture of Gumbel distributions is proved. A procedure is presented for finding maximum likelihood estimates for the four parameters of a mixture of two Gumbel distributions, using classified and unclassified observation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3967403ceaf1f4e8eb598e1e6cab3d3a
https://doi.org/10.1080/03610911003624867
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