A COMPARISON OF NONLINEAR GROWTH-MODELS FOR FISHERIES

被引:6
作者
PAWLAK, C
HANUMARA, RC
机构
[1] Department of Computer Science and Statistics, University of Rhode Island, Kingston
关键词
D O I
10.1016/0165-7836(91)90104-N
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Several extensions to the classical von Bertalanffy model, based on the consideration that the growth-time relationships in fishes in temperate and polar areas vary seasonally, have appeared in the literature. In this paper, we compare the seasonal growth models of Cloern and Nichols, Hoening and Hanumara, Pauly and Gaschutz, and Pitcher and MacDonald using several data sets. For each model/data set combination, measures of intrinsic non-linearity and parameter effects non-linearity as proposed by Bates and Watts are computed. The model parameter estimates are evaluated using bias, skewness and kurtosis to determine which of them contribute to the non-linear behaviour of the model. These results show that the Pauly and Gaschutz and Hoenig and Hanumara models exhibit properties closely resembling that of a linear model, and hence are selected over the other models.
引用
收藏
页码:143 / 154
页数:12
相关论文
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