Parameter Estimation for Thetwo-Parameter Maxwell Distribution Under Complete and Censored Samples

dc.contributor.author Arslan, Talha
dc.contributor.author Acitas, Sukru
dc.contributor.author Senoglu, Birdal
dc.date.accessioned 2025-05-10T17:58:53Z
dc.date.available 2025-05-10T17:58:53Z
dc.date.issued 2021
dc.description.abstract 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. en_US
dc.identifier.issn 1645-6726
dc.identifier.scopus 2-s2.0-85108612476
dc.identifier.uri https://hdl.handle.net/20.500.14720/20355
dc.language.iso en en_US
dc.publisher inst Nacional Estatistica-ine en_US
dc.relation.ispartof REVSTAT-Statistical Journal en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Efficiency en_US
dc.subject Maxwell Distribution en_US
dc.subject Modified Likelihood en_US
dc.subject Monte Carlo Simulation en_US
dc.subject Newton-Raphson en_US
dc.subject Type-Ii Censoring en_US
dc.title Parameter Estimation for Thetwo-Parameter Maxwell Distribution Under Complete and Censored Samples en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 57524658600
gdc.author.scopusid 40460949100
gdc.author.scopusid 6506973358
gdc.author.wosid Acitas, Sukru/O-5507-2018
gdc.author.wosid Arslan, Talha/B-9217-2013
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
gdc.description.departmenttemp [Arslan, Talha] Van Yuzuncu Yil Univ, Dept Econometr, Van, Turkey; [Acitas, Sukru] Eskisehir Tech Univ, Dept Stat, Eskisehir, Turkey; [Senoglu, Birdal] Ankara Univ, Dept Stat, Ankara, Turkey en_US
gdc.description.endpage 253 en_US
gdc.description.issue 2 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 237 en_US
gdc.description.volume 19 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q4
gdc.identifier.wos WOS:000659917100004
gdc.index.type WoS
gdc.index.type Scopus

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