Zobrazeno 1 - 10
of 36 696
pro vyhledávání: '"maximum-likelihood estimation"'
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 950-962 (2024)
Researchers have devoted decades to striving to create a plethora of distinctive distributions in order to meet specific objectives. The argument is that traditional distributions have typically been found to lack fit in real-world situations, which
Externí odkaz:
https://doaj.org/article/d144e4e416d24d5cb48afb349e50ec3c
Autor:
Marwan H. Alhelali, Basim S.O. Alsaedi
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 123-135 (2024)
In statistical inference, introducing a probability distribution appropriate for modeling complex, skewed and symmetric datasets plays an important role. This article presents a new method, referred to as the exponential transformed approach, aimed a
Externí odkaz:
https://doaj.org/article/4b2cb7d03e984d6ebaa01e7e859f2c40
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 29346-29369 (2024)
Based on joint progressive Type-II censored data, we examined the statistical inference of the generalized logistic distribution with different shape and scale parameters in this research. Wherever possible, we explored maximum likelihood estimators
Externí odkaz:
https://doaj.org/article/42a4afd5f60944839d759dae6d409659
Autor:
Amal S. Hassan, Samah A. Atia
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract A very useful modification to ranked set sampling (RSS) that allows a larger set size without significantly increasing ranking errors is the maximum ranked set sampling with unequal samples (MRSSU) approach. This article covers the parameter
Externí odkaz:
https://doaj.org/article/4d88f046f6a24412bc44e2cdf677a4ed
Autor:
Mohamed A.S. Ishag, Anthony Wanjoya, Aggrey Adem, Rehab Alsultan, Abdulaziz S. Alghamdi, Ahmed Z. Afify
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 587-602 (2024)
The proportional hazard regression models are widely used statistical tools for analyzing survival data and estimating the effects of covariates on survival times. It is assumed that the effects of the covariates are constant across the time. In this
Externí odkaz:
https://doaj.org/article/39f40f38d01248d69d8a1997eb6ab871
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 3, Pp 290-314 (2024)
Abstract The estimation of a certain threshold beyond which an extreme value distribution can be fitted to the tail of a data distribution remains one of the main issues in the theory of statistics of extremes. While standard Peak over Threshold (PoT
Externí odkaz:
https://doaj.org/article/6c01af054a2846b2bf58243361736a24
Autor:
Veronica Kariuki, Anthony Wanjoya, Oscar Ngesa, Amirah Saeed Alharthi, Hassan M. Aljohani, Ahmed Z. Afify
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-34 (2024)
Abstract This paper presents the exponentiated alpha-power log-logistic (EAPLL) distribution, which extends the log-logistic distribution. The EAPLL distribution emphasizes its suitability for survival data modeling by providing analytical simplicity
Externí odkaz:
https://doaj.org/article/d3a772fca9c14b7aa5d073c68d057099
Autor:
Abbarapu Ashok, Nadiminti Nagamani
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1273-1286 (2024)
Estimating a common parameter is the most essential and quite fascinating task across various probability distributions. This article addresses the challenge of estimating this parameter through the application of Maximum Likelihood Estimation (MLE).
Externí odkaz:
https://doaj.org/article/b89479c747b7489b8e38e4a2fa30fbf2