Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sukru Acitas"'
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 2 (2021)
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) meth
Externí odkaz:
https://doaj.org/article/d3e19eb7faf146809a179500cc81a486
Publikováno v:
Revista Colombiana de Estadística, Vol 38, Iss 2, Pp 353-370
The alpha-skew normal (ASN) distribution has been proposed recently in the literature by using standard normal distribution and a skewing approach. Although ASN distribution is able to model both skew and bimodal data, it is shortcoming when data has
Externí odkaz:
https://doaj.org/article/cc16803c5252411085cf1cb99f36b886
Publikováno v:
Soft Computing. 26:12623-12634
Autor:
Talha Arslan, Sukru Acitas
Publikováno v:
Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 8:19-33
In this study, we consider different estimation methods for the parameters of Weibull Lindley distribution introduced by Ashgarzadeh et al. [1]. We consider maximum likelihood (ML), least squares (LS), weighted least squares (WLS), Cramer Von Mises (
Autor:
Sukru Acitas, Birdal Şenoğlu
Publikováno v:
Journal of Computational and Applied Mathematics. 363:337-349
In this study, we develop robust versions of the change point estimation methods given by Hudson (1966) and Muggeo (2003) in the two-phase linear regression model. We use a modified maximum likelihood (MML) methodology originated by Tiku (1967, 1968)
Estimating the location and scale parameters of a distribution is one of the most crucial issues in Statistics. Therefore, various estimators are proposed for estimating them, such as maximum likelihood, method of moments and minimum distance (e.g. C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ea2e2482766dbf1276c09ce5a38aff
https://avesis.yyu.edu.tr/publication/details/6d7874d8-034d-4cac-9b37-d34dc99d2a62/oai
https://avesis.yyu.edu.tr/publication/details/6d7874d8-034d-4cac-9b37-d34dc99d2a62/oai
Autor:
Sukru Acitas, Birdal Şenoğlu, Leila Shahvirdi, Timur Gültekin, Mohammad Bagher Alizadeh Aghdam
Publikováno v:
Issue: 38 37-45
Antropoloji
Antropoloji
Bu araştırmanın amacı, İran’nın Tebriz kentinde kadın ve erkeklerde obezite oranlarını belirlemek ve obezite ile beden algısı arasındaki ilişkiyi ortaya koymaktır. Bu amaç doğrultusunda, İran-Tebriz’de yaşayan 562 kadın, 438 er
Publikováno v:
Reliability Engineering & System Safety. 183:116-127
WOS: 000455693700010
Three-parameter Weibull is one of the most popular and most widely-used distribution in many fields of science. Therefore, many studies have been conducted concerning the statistical inferences of the parameters of Weibull d
Three-parameter Weibull is one of the most popular and most widely-used distribution in many fields of science. Therefore, many studies have been conducted concerning the statistical inferences of the parameters of Weibull d
Publikováno v:
J Appl Stat
It is well-known that classical Tobit estimator of the parameters of the censored regression (CR) model is inefficient in case of non-normal error terms. In this paper, we propose to use the modified maximum likelihood (MML) estimator under the Jones
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb1d89b69805a74683282b891367c2b
https://europepmc.org/articles/PMC9041653/
https://europepmc.org/articles/PMC9041653/
In this study, we estimate the parameters of the Moyal distribution by using well-known and widely-used maximum likelihood (ML) and method of moments (MoM) methodologies. The ML estimators of the location and scale parameters of the Moyal distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dff5757bfc9e3f082da7320efebbeebf
https://hdl.handle.net/11729/2910
https://hdl.handle.net/11729/2910