Zobrazeno 1 - 10
of 987
pro vyhledávání: '"maximum likelihood estimates"'
Publikováno v:
Journal of Mahani Mathematical Research, Vol 13, Iss 2, Pp 13-32 (2024)
Recently, Alizadeh and Shafaei (2023) introduced some estimators for varentropy of a continuous random variable. The present article applies these estimators and construct some tests of fit for Inverse Gaussian distribution. Percentage points and typ
Externí odkaz:
https://doaj.org/article/ac7ab8c3a8ba43e4959c4ca5ec61576c
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 3, Pp 175-205 (2024)
Abstract Our research paper introduces a newly developed probability distribution called the transformed MG-extended exponential (TMGEE) distribution. This distribution is derived from the exponential distribution using the modified Frechet approach,
Externí odkaz:
https://doaj.org/article/badabfe3a58d4e8d9ae71559d924ebae
Autor:
Yong Jun Cho
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract In this study, as part of basic research aimed at enhancing the accuracy of load and resistance coefficients to ensure their suitability for practical design and promoting the application of underutilized reliability-based design in Korea, t
Externí odkaz:
https://doaj.org/article/2efcf165727e4aff8df1920db3093935
Publikováno v:
Journal of Mahani Mathematical Research, Vol 13, Iss 1, Pp 71-84 (2023)
The Inverse Gaussian (IG) distribution is widely used to model positively skewed data. In this article, we examine goodness of fit tests for the Inverse Gaussian distribution based on the empirical distribution function. In order to compute the test
Externí odkaz:
https://doaj.org/article/542f28532099438a8ed340c40889a724
Autor:
Goyal, Abhishek a, ⁎, Flammini, Alessia b, Morbidelli, Renato b, Corradini, Corrado b, Govindaraju, Rao S. a
Publikováno v:
In Journal of Hydrology November 2023 626 Part B
Publikováno v:
Axioms, Vol 13, Iss 7, p 443 (2024)
Different non-Bayesian and Bayesian techniques were used to estimate the pseudo-Lindley (PsL) distribution’s parameters in this study. To derive Bayesian estimators, one must assume appropriate priors on the parameters and use loss functions such a
Externí odkaz:
https://doaj.org/article/ede471650953468aba81bbafbe8463ec
Publikováno v:
In Journal of Computational and Applied Mathematics April 2023 422
Publikováno v:
In Cancer Epidemiology February 2023 82
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