APL as a tool for computations in growth studies

Authors:
T. Nummi
Affiliations:
University of Tarnpere, P.O. Box 607, SF-33 101 Tampere, Finland
Venue:
APL '89 Conference proceedings on APL as a tool of thought
Year:
1989

Citing 3
Cited 0

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Abstract

The aim of this paper is to introduce some computational ideas for carrying out the multivariate growth curve analysis. In longitudinal studies missing data is often involved. Therefore handling of incomplete data is an important part of the analysis. Here we introduce a technique for estimating growth curve parameters based on the least squares approach. It was shown that many computational problems in growth curve analysis can be solved easily using APL.