Comparing of the Maximum Likelihood (Ml) and the Least Squares (Ls) Methods in Terms of Variance Components for Unequal Numbers of Abservations in Subclasses

dc.contributor.author Orhan, H.
dc.contributor.author Okut, H.
dc.date.accessioned 2025-05-10T17:05:11Z
dc.date.available 2025-05-10T17:05:11Z
dc.date.issued 1996
dc.description.abstract In this study, two parameter estimators. Maximum Likelihood (ML) and Least Squere (LS) methods, have been compared in case of random and mixed model conditions with respect to the efficiency of the estimated parameters. According to results obtained, ML method should be preferred to LS method in the case of random and mixed models for unequal numbers of observation in subclasses. en_US
dc.identifier.doi 10.55730/1300-0128.4104
dc.identifier.issn 1300-0128
dc.identifier.scopus 2-s2.0-0030536238
dc.identifier.uri https://doi.org/10.55730/1300-0128.4104
dc.identifier.uri https://hdl.handle.net/20.500.14720/6235
dc.language.iso tr en_US
dc.publisher Scientific and Technical Research Council of Turkey en_US
dc.relation.ispartof Turkish Journal of Veterinary and Animal Sciences en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Least Square (Ls) Methods en_US
dc.subject Maxsimum Likelihood (Ml) en_US
dc.subject Variance Components en_US
dc.title Comparing of the Maximum Likelihood (Ml) and the Least Squares (Ls) Methods in Terms of Variance Components for Unequal Numbers of Abservations in Subclasses en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 59577148200
gdc.author.scopusid 59026085600
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 Orhan H., Kahramanmaras Sutcu Imam U., Ziraat Fakültesi, Kahramanmaraş, Türkiye; Okut H., Yuzuncu Yil Universitesi, Ziraat Fakültesi, Van, Türkiye en_US
gdc.description.endpage 297 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 293 en_US
gdc.description.volume 20 en_US
gdc.description.wosquality Q4
gdc.index.type Scopus

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