Abstract
This paper is about tests of random individual effects in non-linear regression models for longitudinal data. Honda’s test is originally suggested for linear regression models. In this paper it is shown that Honda’s test can also be used for non-linear regression models estimated by non-linear least squares. Two corrections of Honda’s test statistic are suggested when there are possible random time effects. The proposed tests’ performances are studied in a simulation study.
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