Zobrazeno 1 - 7
of 7
pro vyhledávání: '"transmuted moment exponential"'
Publikováno v:
Journal of Statistics. 2018, Vol. 25 Issue 1, p32-48. 17p.
Publikováno v:
Academic Journal of Applied Mathematical Sciences. :41-52
This paper introduces a new generalization of moment exponential (or length biased) distribution. The new model is referred to as generalized transmuted moment exponential distribution. This model contains some new existing distributions. Structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb86880f1033239c01b9a6c12c0f861f
https://doi.org/10.32861/ajams.65.41.52
https://doi.org/10.32861/ajams.65.41.52
Autor:
Amani Alrumayh, Hazar A. Khogeer
Publikováno v:
Symmetry, Vol 15, Iss 6, p 1289 (2023)
A novel discrete Poisson mixing probability distribution with two parameters has been developed by combining the Poisson distribution with the transmuted moment exponential distribution. It is possible to deduce several mathematical properties, such
Externí odkaz:
https://doaj.org/article/c82d178a4cb745cba9136b151049d523
Autor:
Alrumayh, Amani1 (AUTHOR) amani.ahmed@nbu.edu.sa, Khogeer, Hazar A.2 (AUTHOR) hakhogeer@uqu.edu.sa
Publikováno v:
Symmetry (20738994). Jun2023, Vol. 15 Issue 6, p1289. 13p.
Autor:
Khogeer, Amani Alrumayh, Hazar A.
Publikováno v:
Symmetry; Volume 15; Issue 6; Pages: 1289
A novel discrete Poisson mixing probability distribution with two parameters has been developed by combining the Poisson distribution with the transmuted moment exponential distribution. It is possible to deduce several mathematical properties, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d503167a7dbfa1ee272ea48875c82748
Autor:
G. G. Hamedani
As mentioned in previous monographs (I, II, and III), in designing a stochastic model for a particular modeling problem, an investigator will be vitally interested to know if their model fits the requirements of a specific underlying probability dist
Autor:
G.G Hamedani
This monograph is, as far as the author has gathered, the third one of its kind which presents various characterizations of many important continuous distributions. It consists of two chapters. The first chapter lists cumulative distributions and pro