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.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
