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Maximum likelihood estimation of multivariate non-linear functional relationships 

Authors: M.F. Egerton a; P.J. Laycock a
Affiliation:   a Institute of Science and Technology,
DOI: 10.1080/02331887908801483
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 10, Issue 2 1979 , pages 273 - 280
Formats available: PDF (English)
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Abstract

The results of Dolby (1972) and Dolby and Feeeman (1975) on the estimation of an explicit non-linear functional relationship are examined for the multivariate case with Σknown up to a multiplicative constant. It is shown that in both univariate and multivariate situations the method of scoring for parameters is susceptible to major errors whenever the non-linearity implies asymmetric peaks or valleys and the data is relatively ”noisy”. Amendments to this method are proposed and demonstrated.
Keywords: Multivariate; non-linear, functional relationship; invalid convergence; repeated solution; replicated observations
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