Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Iman Makhdoom"'
Publikováno v:
پژوهشهای ریاضی, Vol 7, Iss 4, Pp 912-931 (2021)
Externí odkaz:
https://doaj.org/article/fe1595c0fe644ac5a53c21defd6fa99b
Autor:
Mehdi Basikhasteh, Iman Makhdoom
Publikováno v:
Journal of Statistical Computation and Simulation. 92:911-927
This paper surveys the location Y¯ chart based on concomitants of ranked set sampling (RSS), a triangular modification of RSS, which is known as maximum ranked set sampling with unequal sample (MRS...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8404e8f48f73a48d5e06a0da4a7321
https://doi.org/10.1080/00949655.2021.1980881
https://doi.org/10.1080/00949655.2021.1980881
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :113-122
The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censoring schemes, scheme creates a new censoring called a Unified hybrid censoring scheme. Therefore, in this study, the E-Bayesian estimation of parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5a9ba6b248330642d9cef133978e01d
https://doi.org/10.18187/pjsor.v17i1.2704
https://doi.org/10.18187/pjsor.v17i1.2704
Publikováno v:
Journal of Modern Applied Statistical Methods. 15:495-509
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e897c6407c0634887948add9c268ecd
https://doi.org/10.22237/jmasm/1478003280
https://doi.org/10.22237/jmasm/1478003280
Publikováno v:
International Journal of System Assurance Engineering and Management. 7:341-355
This study investigates Bayesian inference on the reliability parameter $$R=P(X>Y)$$ from the power Lindley (PL) distribution where X and Y are independent power Lindley random variables. Gamma distribution is used as the priors of parameters. Bayes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758973989f56f37de27360c860aee76c
https://doi.org/10.1007/s13198-016-0476-5
https://doi.org/10.1007/s13198-016-0476-5