Zobrazeno 1 - 10
of 38
pro vyhledávání: '"M. J. A. Khan"'
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
Among the various ideas that appear while studying graph theory, which has gained much attraction especially in graph labeling, labeling of graphs gives mathematical models which value for a vast range of applications in high technology (data securit
Externí odkaz:
https://doaj.org/article/5e4b2f0f98424530877a4c05b43661ee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Ranked set sampling (RSS) is known to increase the efficiency of the estimators while comparing it with simple random sampling. The problem of missingness creates a gap in the information that needs to be addressed before proceeding for esti
Externí odkaz:
https://doaj.org/article/d77631c1e5e1481384f923edc1e3d556
Publikováno v:
Earth System Science Data, Vol 15, Pp 5739-5753 (2023)
In this data paper, the sea level time series at Socoa (Saint-Jean-de-Luz, southwestern France) is extended through a data archaeology exercise. We conducted a comprehensive study of national and local archives to catalogue water level records stored
Externí odkaz:
https://doaj.org/article/1d1691d2cd2c43218ab444f4132ec795
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 2359-2379 (2022)
Storm-surge-induced coastal inundation constitutes a substantial threat to lives and properties along the vast coastline of the Bengal delta. Some of the deadliest cyclones in history made landfall in the Bengal delta region claiming more than half a
Externí odkaz:
https://doaj.org/article/50a581585b9840e6940de35847f3b1b6
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 20, Iss 2 (2021)
In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator
Externí odkaz:
https://doaj.org/article/0c0ee5ae74414451b59fc110acecdb0a
Publikováno v:
Journal of Modern Applied Statistical Methods. 18:2-20
For the new bivariate Gompertz distribution, the expression for probability density function (pdf) of rth order statistics and pdf of concomitant arising from rth order statistics are derived. The properties of concomitant arising from the correspond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87fb2d24f276a7bd332f570a09f05ed2
https://doi.org/10.22237/jmasm/1604189820
https://doi.org/10.22237/jmasm/1604189820
Publikováno v:
American Journal of Mathematical and Management Sciences. 39:214-233
In this paper, we have deduced the exact and explicit expressions for single and product moments of Lindley distribution based on generalized order statistics in terms of Gauss hypergeometric funct...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef771d4e3c76e5d8ee009c9f9f7ee4d
https://doi.org/10.1080/01966324.2020.1718568
https://doi.org/10.1080/01966324.2020.1718568
Autor:
M. J. S. Khan, Bushra Khatoon
Publikováno v:
Annals of Data Science. 7:525-545
In this paper, we have derived the classical and Bayesian inferences for stress–strength reliability $$R=P(X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5d5df22c84d85455aa075112577b649
https://doi.org/10.1007/s40745-019-00207-6
https://doi.org/10.1007/s40745-019-00207-6
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 20, Iss 2 (2021)
In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3d5f605aa7f02aab098e89d525a617
https://www.atlantis-press.com/article/125953461/view
https://www.atlantis-press.com/article/125953461/view
Autor:
M. J. S. Khan Khan, Arti Sharma
Publikováno v:
Journal of Statistics: Advances in Theory and Applications. 19:43-69
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e53a40c0c38e58e320eadab065180b
https://doi.org/10.18642/jsata_7100121925
https://doi.org/10.18642/jsata_7100121925