Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Anuresha Krishna"'
Publikováno v:
Stats, Vol 5, Iss 3, Pp 755-772 (2022)
The significance of count data modeling and its applications to real-world phenomena have been highlighted in several research studies. The present study focuses on a two-parameter discrete distribution that can be obtained by compounding the Poisson
Externí odkaz:
https://doaj.org/article/5744f28509b6491eaa917957a644f6e5
Autor:
Fatimah E. Almuhayfith, Anuresha Krishna, Radhakumari Maya, Muhammad Rasheed Irshad, Hassan S. Bakouch, Munirah Almulhim
Publikováno v:
Axioms, Vol 13, Iss 1, p 32 (2023)
INAR models have the great advantage of being able to capture the conditional distribution of a count time series based on their past observations, thus allowing it to be tailored to meet the unique characteristics of count data. This paper reviews t
Externí odkaz:
https://doaj.org/article/6b47852d2768426a85c75f987cd9b4c7
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 1, p 12 (2022)
A bounded form of the Teissier distribution, namely the unit Teissier distribution, is introduced. It is subjected to a thorough examination of its important properties, including shape analysis of the main functions, analytical expression for moment
Externí odkaz:
https://doaj.org/article/3e1e36f425c5414a9eaeeac29d4b44eb
Publikováno v:
Journal of the Indian Society for Probability and Statistics. 22:265-302
In this article we introduce a generalized form of power Muth distribution, so-called exponentiated power Muth distribution with increasing, decreasing, bathtub and upside-down bathtub shaped hazard rates and investigate its important properties incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd0dbf270b2402e63e67b42a1a892d4
https://doi.org/10.1007/s41096-021-00104-3
https://doi.org/10.1007/s41096-021-00104-3