Zobrazeno 1 - 10
of 49
pro vyhledávání: '"M S Eliwa"'
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244316 (2021)
This paper describes a method for computing estimates for the location parameter μ > 0 and scale parameter λ > 0 with fixed shape parameter α of the alpha power exponential distribution (APED) under type-II hybrid censored (T-IIHC) samples. We com
Externí odkaz:
https://doaj.org/article/5251d1865fff47ed82946efff2107c34
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0245627 (2021)
A new distribution defined on (0,1) interval is introduced. Its probability density and cumulative distribution functions have simple forms. Thanks to its simple forms, the moments, incomplete moments and quantile function of the proposed distributio
Externí odkaz:
https://doaj.org/article/19dd009e7fd440f2b28848a377e2b933
Autor:
M S Eliwa, Emrah Altun, Ziyad Ali Alhussain, Essam A Ahmed, Mukhtar M Salah, Hanan Haj Ahmed, M El-Morshedy
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246969 (2021)
Lifetime distributions are an important statistical tools to model the different characteristics of lifetime data sets. The statistical literature contains very sophisticated distributions to analyze these kind of data sets. However, these distributi
Externí odkaz:
https://doaj.org/article/ea11bfc5263c4b74bd8bdc52d87d4535
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
The main aim of the paper is to propose and study a new heavy-tail model for stochastic modeling under engineering data. After studying and analyzing its mathematical properties, different classical estimation methods such as the ordinary least squar
Externí odkaz:
https://doaj.org/article/315e7654d0464cfda176309a7ac32667
Publikováno v:
Mathematics, Vol 8, Iss 11, p 1949 (2020)
The extreme value theory is expanded by proposing and studying a new version of the Fréchet model. Some new bivariate type extensions using Farlie–Gumbel–Morgenstern copula, modified Farlie–Gumbel–Morgenstern copula, Clayton copula, and Reny
Externí odkaz:
https://doaj.org/article/c1393fc01ec242cab22176310805673f
Publikováno v:
Mathematics, Vol 8, Iss 11, p 1989 (2020)
For bounded unit interval, we propose a new Kumaraswamy generalized (G) family of distributions through a new generator which could be an alternate to the Kumaraswamy-G family proposed earlier by Cordeiro and de Castro in 2011. This new generator can
Externí odkaz:
https://doaj.org/article/e321112959ab4627a64fd6d4f3476b22
Publikováno v:
Mathematics, Vol 8, Iss 3, p 358 (2020)
Alizadeh et al. introduced a flexible family of distributions, in the so-called Gompertz-G family. In this article, a discrete analogue of the Gompertz-G family is proposed. We also study some of its distributional properties and reliability characte
Externí odkaz:
https://doaj.org/article/7b189dbe00d04d999efceaefaeac239c
Publikováno v:
Mathematics, Vol 8, Iss 2, p 264 (2020)
Burr proposed twelve different forms of cumulative distribution functions for modeling data. Among those twelve distribution functions is the Burr X distribution. In statistical literature, a flexible family called the Burr X-G (BX-G) family is intro
Externí odkaz:
https://doaj.org/article/276d5f0274484457b641ea5833fb7e3c
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :799-816
In this paper, a new probability discrete distribution for analyzing over-dispersed count data encountered in biological sciences was proposed. The new discrete distribution, with one parameter, has a log-concave probability mass function and an incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b6eb8b4a99245a19b9ae9d81469b34d
https://doi.org/10.18187/pjsor.v17i4.3781
https://doi.org/10.18187/pjsor.v17i4.3781
Publikováno v:
Statistics, Optimization & Information Computing. 9:974-983
Linear and circular consecutive models play a vital role to study the mechanical systems emerging in various fields including survival analysis, reliability theory, biological disciplines, and other lifetime sciences. As a result, analysis of reliabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::508e755ea833c1200846dcac9cd8d917
https://doi.org/10.19139/soic-2310-5070-1132
https://doi.org/10.19139/soic-2310-5070-1132