Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Abdulkareem M. Basheer"'
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4826 (2022)
Given a sample, E-Bayesian estimates, which are the expected Bayesian estimators over the joint distributions of two hyperparameters in the prior distribution, are developed for the inverse Weibull distribution rate parameter under the scaled squared
Externí odkaz:
https://doaj.org/article/c191951216914f319513a824b5f04a42
Autor:
Abdulkareem M. Basheer
Publikováno v:
Journal of Taibah University for Science, Vol 13, Iss 1, Pp 423-432 (2019)
In this paper, we use the method of the alpha power transformation to introduce a new generalized alpha power inverse Weibull (APIW) distribution. Its characterization and statistical properties are obtained, such as reliability, moments, entropy and
Externí odkaz:
https://doaj.org/article/1c729733dd514e3e9608f457a0090689
Publikováno v:
Journal of the Egyptian Mathematical Society, Vol 25, Iss 3, Pp 343-349 (2017)
The aim of this paper is to introduce an extension of the inverse Weibull distribution which offers a more flexible distribution for modeling lifetime data. We extend the inverse Weibull distribution by Marshall–Olkin method (MOEIW). Some statistic
Externí odkaz:
https://doaj.org/article/87c18a48b5384fa5b931196dcd33eab4
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
https://doi.org/10.9734/ajpas/2023/v21i4470
Publikováno v:
Quality and Reliability Engineering International. 39:931-957
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dde5a5f6cf18ee6c7626bef4f93cec3
https://doi.org/10.1002/qre.3270
https://doi.org/10.1002/qre.3270
Publikováno v:
Journal of Statistics Applications & Probability. 10:327-345
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af4c2455d596f436f4c31c57cd027006
https://doi.org/10.18576/jsap/100205
https://doi.org/10.18576/jsap/100205
Publikováno v:
Annals of Data Science. 10:737-759
In this paper new formulas for E-Bayesian and hierarchical Bayesian estimations of the parameter and reliability of the inverse Weibull distribution are obtained in closed forms. To illustrate the applicability of the obtained results, simulated and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d792bc1ccd6106750c6a55baaf9c89
https://doi.org/10.1007/s40745-020-00320-x
https://doi.org/10.1007/s40745-020-00320-x
Publikováno v:
Annals of Data Science. 8:769-784
The inverse Weibull distribution is successfully applied in many different disciplines e.g., reliability engineering, bioengineering and modeling of survival data. There are lots of statistical and computer science techniques e.g., particle swarm opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b425ae9a4d8aa6548f79ea8d4ff97bb1
https://doi.org/10.1007/s40745-020-00299-5
https://doi.org/10.1007/s40745-020-00299-5
Publikováno v:
Journal of the Indian Society for Probability and Statistics. 21:247-257
In this paper, we invoke a new prospective to discuss the estimation of a three-parameter Marshall Olkin extended inverse Weibull distribution based on Markov Chain Monte Carlo (MCMC) approach. The Bayes estimators under the squared error loss and LI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d7358b0bcb3a5182c423180c2bb5d1d
https://doi.org/10.1007/s41096-020-00082-y
https://doi.org/10.1007/s41096-020-00082-y
Autor:
Abdulkareem M. Basheer
Publikováno v:
Annals of Data Science. 9:301-313
In this paper, we use the method of the Marshall Olkin alpha power transformation to introduce a new generalized Marshall Olkin alpha power inverse exponential (MOAPIE) distribution. Its characterization and statistical properties are obtained, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5e5d44f6a32ab7a7e1f6b97794c4d2
https://doi.org/10.1007/s40745-019-00229-0
https://doi.org/10.1007/s40745-019-00229-0