Testing regression function adequacy in nonlinear multiresponse models

James W. Neill and Shie-Shien Yang

Statistics & Probability Letters, 1990, vol. 9, issue 2, 101-105

Abstract: The problem of testing a proposed nonlinear multiresponse regression function for lack of fit is considered. With replication and general alternative, pseudo and classical likelihood ratio tests are determined. Asymptotic distributions and consistency properties are derived.

Keywords: Multivariate; regression; nonlinear; lack; of; fit (search for similar items in EconPapers)
Date: 1990
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