Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Talha Arslan"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In this study, a versatile model, called $$\alpha$$ α -monotone inverse Weibull distribution ( $$\alpha$$ α IW), for lifetime of a component under stress is introduced by using the $$\alpha$$ α -monotone concept. The $$\alpha$$ α IW dist
Externí odkaz:
https://doaj.org/article/226bdd25b33b42edacf6327c8a8f23fc
Publikováno v:
Veterinary Medicine and Science, Vol 9, Iss 4, Pp 1764-1770 (2023)
Abstract Objective The current study investigates how uterine torsion influences placental oestrogens and progesterone blood concentrations in intrapartum cows. Our research tests the hypothesis that intrapartum uterine torsion impairs the ability of
Externí odkaz:
https://doaj.org/article/60fcc709d11d4ccd95c6c111132dece6
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
Autor:
Talha Arslan
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1400 (2021)
Modeling environmental data plays a crucial role in explaining environmental phenomena. In some cases, well-known distributions, e.g., Weibull, inverse Weibull, and Gumbel distributions, cannot model environmental events adequately. Therefore, many a
Externí odkaz:
https://doaj.org/article/e2053f4a20db4d89876a6eb843a80f5e
Autor:
Cihan Şen, Mustafa Talha Arslan
Publikováno v:
Bilim Armonisi. 4:32-43
Kırsal alanda meskenler biri halkın oturduğu konut kısmından oluşurken diğer bölümler baktıkları hayvanlar için ahır, samanlık ve kendi ihtiyaçlarını depolamak için yapılan tahıl ambarı gibi eklentilerden oluşmaktadır. Bu çal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e14f32e2270db29d1f46de85688f66
https://doi.org/10.37215/bilar.851916
https://doi.org/10.37215/bilar.851916
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 (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3daac393ba6813f95c09c62ef9bd899
https://doi.org/10.20290/estubtdb.529328
https://doi.org/10.20290/estubtdb.529328
In this study, an alpha power inverted Kumaraswamy (APIK) distribution is introduced. The APIK distribution is de- rived by applying alpha power transformation to an inverted Kumaraswamy distribution. Some submodels and limiting cases of the APIK dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e5a04a13fdd5c5845a18559918e2f0
https://avesis.yyu.edu.tr/publication/details/6664a31f-39b4-4310-90cf-e325306c2867/oai
https://avesis.yyu.edu.tr/publication/details/6664a31f-39b4-4310-90cf-e325306c2867/oai
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
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