Correlated Residuals in Non‐Linear Regression Applied to Growth Data

C. A. Glasbey

Journal of the Royal Statistical Society Series C, 1979, vol. 28, issue 3, 251-259

Abstract: A model for growth is proposed which has as the stochastic term a first‐order autoregressive process. This remedies a deficiency in the literature for non‐linear regression with correlated residuals (Sprent, 1969, p. 158). In Section 2 a method of fitting this model is given and in Section 3 this is applied to animal weight data using the generalized logistic curve. The assumptions of the model are examined in Section 4 and in Section 5 the data are further analysed. Finally, generalizations of the model are outlined in Section 6.

Date: 1979
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