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Review of the Methods for Estimating Fish Population Size from Survey Removal Data
Author(s) -
Cowx I. G.
Publication year - 1983
Publication title -
aquaculture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 89
eISSN - 1365-2109
pISSN - 1355-557X
DOI - 10.1111/j.1365-2109.1983.tb00057.x
Subject(s) - statistics , biology , sampling (signal processing) , fish <actinopterygii> , population , maximum likelihood , constant (computer programming) , population size , mathematics , fishery , demography , computer science , filter (signal processing) , sociology , computer vision , programming language
The paper describes methods of estimating population size based on survey removal or depletion data, discusses the assumptions upon which they are based and the relative merits of each method. Of the methods described the Zippin maximum likelihood model was considered most convenient and satisfactory (primarily because of its ease of use) when the proportion of the population taken in successive catches remains constant throughout sampling. When this was not the case, as is often found in depletion sampling, the more robust maximum weighted likelihood model of Carle & Strub (1978) was found to be the only method which produced statistically reliable estimates.