Estimation of Interclass and Intraclass Correlations in Multivariate Familial Data
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Date
1988
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Abstract
Asymptotically 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.
Description
Full text can be accessed at
http://www.jstor.org/stable/2531902?seq=1#page_scan_tab_contents
Keywords
Asymptotic theory, Delta method, Maximum likelihood estimation, Quasi-Newton method