Estimation of Interclass and Intraclass Correlations in Multivariate Familial Data

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dc.contributor.authorSrivastava, M. S.
dc.contributor.authorKeen, K. J.
dc.contributor.authorKatapa, R. S.
dc.date.accessioned2016-09-21T12:36:26Z
dc.date.available2016-09-21T12:36:26Z
dc.date.issued1988
dc.descriptionFull text can be accessed at http://www.jstor.org/stable/2531902?seq=1#page_scan_tab_contentsen_US
dc.description.abstractAsymptotically 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.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11810/3835
dc.language.isoenen_US
dc.subjectAsymptotic theoryen_US
dc.subjectDelta methoden_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectQuasi-Newton methoden_US
dc.titleEstimation of Interclass and Intraclass Correlations in Multivariate Familial Dataen_US
dc.typeJournal Article, Peer Revieweden_US
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