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Estimation in Multivariate Nonnormal Distributions With Stochastic Variance Function

dc.contributor.author Islam, M. Qamarul
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2017-04-25T08:33:52Z
dc.date.accessioned 2025-09-18T12:05:13Z
dc.date.available 2017-04-25T08:33:52Z
dc.date.available 2025-09-18T12:05:13Z
dc.date.issued 2014
dc.description.abstract In this paper the problem of estimation of location and scatter of multivariate nonnormal distributions is considered. Estimators are derived under a maximum likelihood setup by expressing the non-linear likelihood equations in the linear form. The resulting estimators are analytical expressions in terms of sample values and, hence, are easily computable and can also be manipulated analytically. These estimators are found to be remarkably more efficient and robust as compared to the least square estimators. They also provide more powerful tests in testing various relevant statistical hypotheses. (C) 2013 Elsevier B.V. All rights reserved. en_US
dc.description.publishedMonth 1
dc.identifier.citation Islam, M.Q. (2014). Estimation in multivariate nonnormal distributions with stochastic variance function. Journal of Computational and Applied Mathematics, 255, 698-714. http://dx.doi.org/10.1016/j.cam.2013.06.032 en_US
dc.identifier.doi 10.1016/j.cam.2013.06.032
dc.identifier.issn 0377-0427
dc.identifier.issn 1879-1778
dc.identifier.scopus 2-s2.0-84880362127
dc.identifier.uri https://doi.org/10.1016/j.cam.2013.06.032
dc.identifier.uri https://hdl.handle.net/123456789/10553
dc.language.iso en en_US
dc.publisher Elsevier Science Bv en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Correlation Coefficient en_US
dc.subject Least Squares en_US
dc.subject Multivariate Nonnormal Distribution en_US
dc.subject Multivariate T-Distribution en_US
dc.subject Modified Maximum Likelihood en_US
dc.subject Short-Tailed Distribution en_US
dc.title Estimation in Multivariate Nonnormal Distributions With Stochastic Variance Function en_US
dc.title Estimation in multivariate nonnormal distributions with stochastic variance function tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Islam, M.Qamarul
gdc.author.scopusid 55014217100
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp Cankaya Univ, Dept Econ, TR-06810 Ankara, Turkey en_US
gdc.description.endpage 714 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 698 en_US
gdc.description.volume 255 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W3023807105
gdc.identifier.wos WOS:000326201800054
gdc.openalex.fwci 0.88884256
gdc.openalex.normalizedpercentile 0.81
gdc.opencitations.count 3
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 9
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
gdc.wos.citedcount 4
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