Parameter Estimation for the Two-Parameter Maxwell Distribution Under Complete and Censored Samples

Autor:	Talha Arslan, Sukru Acitas, Birdal Senoglu
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	efficiency Maxwell distribution modified likelihood Monte Carlo simulation Newton–Raphson Type-II censoring Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 19, Iss 2 (2021)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v19i2.341
Popis:	The Maxwell distribution is one of the basic distributions in Physics besides being popular in Statistics for modeling lifetime data. This paper considers the parameter estimation of the Maxwell distribution via modified maximum likelihood (MML) methodology for both complete and censored samples. The MML estimators for the location and scale parameters of the Maxwell distribution have explicit forms and they are robust against the plausible deviations from the assumed model. A Monte Carlo simulation study is conducted to compare the performances of the MML estimators with the corresponding maximum likelihood (ML), least squares (LS) and method of moments (MoM) estimators.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d3e19eb7faf146809a179500cc81a486 Zobrazit plný text záznamu View record in DOAJ