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pro vyhledávání: '"Al Omari Mohammed Ahmed"'
Autor:
Al Omari Mohammed Ahmed
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
Censored data are considered to be of the interval type where the upper and lower bounds of an event’s failure time cannot be directly observed but only determined between interval inspection times. The analyses of interval-censored data have attra
Externí odkaz:
https://doaj.org/article/e94ba44ac70d4e11b9f3467159a0a347
Akademický článek
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Autor:
Al Omari Mohammed Ahmed
Publikováno v:
Academic Journal of Applied Mathematical Sciences. :106-112
This paper is focused on estimating the parameter of Exponential distribution under right-censored data with cure fraction. The maximum likelihood estimation and Bayesian approach were used. The Bayesian method is implemented using gamma, Jeffreys, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a091c2a0a111a7fa43ea8fbd286d06b
https://doi.org/10.32861/ajams.72.106.112
https://doi.org/10.32861/ajams.72.106.112
Autor:
Al Omari Mohammed Ahmed
Publikováno v:
Journal of Applied Mathematics and Physics. :220-232
Type-I censoring mechanism arises when the number of units experiencing the event is random but the total duration of the study is fixed. There are a number of mathematical approaches developed to handle this type of data. The purpose of the research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b35e107efafb85fb7de77fd410df1a66
https://doi.org/10.4236/jamp.2021.92016
https://doi.org/10.4236/jamp.2021.92016
Autor:
Al Omari Mohammed Ahmed
Publikováno v:
Journal of Applied Sciences. 16:88-97
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f02af30ef29710d6708acad8df6093
https://doi.org/10.3923/jas.2016.88.97
https://doi.org/10.3923/jas.2016.88.97
Autor:
Al Omari Mohammed Ahmed
Publikováno v:
Open Journal of Statistics. :570-577
This study considers the estimation of Maximum Likelihood Estimator and the Bayesian Estimator of the Weibull distribution with interval-censored data. The Bayesian estimation can’t be used to solve the parameters analytically and therefore Markov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::576b7178da49d6277f35f424bfa42e3c
https://doi.org/10.4236/ojs.2014.48053
https://doi.org/10.4236/ojs.2014.48053
Publikováno v:
Procedia - Social and Behavioral Sciences. 8:663-669
The Weibull distribution provides a statistical model which has a wide variety of applications in many areas, including life testing and reliability theory. The main advantageous of this distribution is its ability to provide reasonably accurate fail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7e705a7ea70fecad3202ce406783792
Akademický článek
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Publikováno v:
Mathematical Problems in Engineering, Vol 2012 (2012)
The Weibull distribution has been observed as one of the most useful distribution, for modelling and analysing lifetime data in engineering, biology, and others. Studies have been done vigorously in the literature to determine the best method in esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93de5fbeb801c95adedb829e463ab121
https://doaj.org/article/d3deafeddf1240529f5b02a51574b161
https://doaj.org/article/d3deafeddf1240529f5b02a51574b161