A generalization of the growth curve model which allows missing data

David G. Kleinbaum

Journal of Multivariate Analysis, 1973, vol. 3, issue 1, 117-124

Abstract: This study presents methods for estimating and testing hypotheses about linear functions of the unknown parameters in a generalization of the growth curve model which allows missing data. The estimators proposed are best asymptotically normal (BAN). A testing method for large samples is described which uses a test criterion given in general form by Wald. The asymptotic null distribution of the test statistic is a central chi-square variable. A BAN estimator of a linear vector function of the unknown parameters of the expectation model and consistent estimators of the variance-covariance parameters are required for computation.

Keywords: Growth; curves; missing; data; hypothesis; testing; generalized; model (search for similar items in EconPapers)
Date: 1973
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Citations: View citations in EconPapers (4)

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