Estimation of Interclass and Intraclass Correlations in Multivariate Familial Data

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dc.creatorSrivastava, M. S.
dc.creatorKeen, K. J.
dc.creatorKatapa, R. S.
dc.date2016-09-21T12:36:26Z
dc.date2016-09-21T12:36:26Z
dc.date1988
dc.date.accessioned2018-03-27T09:13:25Z
dc.date.available2018-03-27T09:13:25Z
dc.descriptionFull text can be accessed at http://www.jstor.org/stable/2531902?seq=1#page_scan_tab_contents
dc.descriptionAsymptotically normal estimators of interclass and intraclass correlations are derived for more than two quantitative characteristics of parent and siblings in a simple random sampling of families that have different numbers of offspring. These estimators are proposed as an alternative to the maximum likelihood estimators, which can be found only by iterative methods requiring prohibitively large amounts of computation. The asymptotic variances of the proposed estimators are also given. In an illustrative example, these easily computable estimators are seen to be comparable to the corresponding maximum likelihood estimators.
dc.identifierhttp://hdl.handle.net/20.500.11810/3835
dc.identifier.urihttp://hdl.handle.net/20.500.11810/3835
dc.languageen
dc.subjectAsymptotic theory
dc.subjectDelta method
dc.subjectMaximum likelihood estimation
dc.subjectQuasi-Newton method
dc.titleEstimation of Interclass and Intraclass Correlations in Multivariate Familial Data
dc.typeJournal Article, Peer Reviewed

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