Interval estimation of parameters in models for seasonal growth in fishes

Abstract Several non-linear models have been proposed in the literature to study seasonal growth in fishes. In this paper, we present interval estimation of parameters in models of Pauly and Gaschutz and Hoenig and Hanumara by inverting the likelihood ratio statistic. These intervals may differ from the Wald intervals that can be obtained from fitting the models with available software packages. It is shown that the differences between the two intervals relate to parameter effects non-linearity using profile t -plots and in those cases likelihood based confidence intervals are to be employed. The likelihood interval is also given for the growth performance index of Pauly and Munro.