Estimating the Size-selectivity of Fishing Gear by Conditioning on the Total Catch
作者:
RussellB. Millar,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1992)
卷期:
Volume 87,
issue 420
页码: 962-968
ISSN:0162-1459
年代: 1992
DOI:10.1080/01621459.1992.10476250
出版商: Taylor & Francis Group
关键词: Conditional maximum likelihood;Fishing gear;Generalized linear models;Logistic curves;Poisson totals;Size-selectivity
数据来源: Taylor
摘要:
A conditional maximum likelihood model is used to estimate the size-selectivity of trawls, gillnets, and hooks when the data are obtained by simultaneous fishing with meshes or hooks of different size and/or shape. Size-selectivity is expressed here by the selection curve,r(l), the probability that a fish of lengthl, if contacting the gear, will be retained (caught). In many selectivity studiesr(l) is fitted either by eye, by heuristic means, or by improper application of generalized linear models. Then it is not possible to make legitimate statistical inference aboutr(l), or about assessments of the state of the fishery if those assessments user(l). It is shown here that by conditioning on the total catch, selectivity data can be modeled as binary data, or polytomous data on interval scales. Application of the model to trawl and hook data demonstrates that selection curves can be fitted using generalized linear models, which may require nonstandard link functions or link functions with parameters.
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