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Multiple linear regression model with stochastic design variables

dc.authorscopusid 55547120879
dc.authorscopusid 7005739359
dc.contributor.author Islam, M. Qamarul
dc.contributor.author Tiku, Moti L.
dc.date.accessioned 2016-06-13T11:16:32Z
dc.date.available 2016-06-13T11:16:32Z
dc.date.issued 2010
dc.department Çankaya University en_US
dc.department-temp [Islam, M. Qamarul] Cankaya Univ, Dept Econ, TR-06530 Ankara, Turkey; [Tiku, Moti L.] Middle E Tech Univ, Dept Stat, TR-06531 Ankara, Turkey; [Tiku, Moti L.] McMaster Univ, Dept Math & Stat, Hamilton, ON, Canada en_US
dc.description.abstract In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.citation Islam, M.Q., Tiku, M.L. (2010). Multiple linear regression model with stochastic design variables. Journal of Applied Statistics, 37(6), 923-943. http://dx.doi.org/10.1080/02664760902939612 en_US
dc.identifier.doi 10.1080/02664760902939612
dc.identifier.endpage 943 en_US
dc.identifier.issn 0266-4763
dc.identifier.issn 1360-0532
dc.identifier.issue 6 en_US
dc.identifier.scopus 2-s2.0-77952375082
dc.identifier.scopusquality Q2
dc.identifier.startpage 923 en_US
dc.identifier.uri https://doi.org/10.1080/02664760902939612
dc.identifier.volume 37 en_US
dc.identifier.wos WOS:000277584400004
dc.identifier.wosquality Q2
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 13
dc.subject Correlation Coefficient en_US
dc.subject Least Squares en_US
dc.subject Linear Regression en_US
dc.subject Modified Maximum Likelihood en_US
dc.subject Multivariate Distributions en_US
dc.subject Non-Normality en_US
dc.subject Random Design en_US
dc.title Multiple linear regression model with stochastic design variables tr_TR
dc.title Multiple Linear Regression Model With Stochastic Design Variables en_US
dc.type Article en_US
dc.wos.citedbyCount 13
dspace.entity.type Publication

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