Applications of Multivariate Statistical Methods in Fisheries

作者: Craig P. Paukert , Timothy A. Wittig

DOI: 10.1577/1548-8446(2002)027<0016:AOMSMI>2.0.CO;2

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摘要: Abstract We summarized the uses of cluster analysis, discriminant function analysis (DFA), multivariate variance (MANOVA), and principal components (PCA) in Transactions American Fisheries Society (TAFS) North Journal Management (NAJFM) from 1981–2001. The use all methods, except increased TAFS over last 21 years, whereas it did not for NAJFM. Two common goals methods were to ordinate or group habitat variables relate fish population characteristics with habitat. No paper fully reported statistical test addressed associated assumptions. Researchers conducting diet studies relating should consider using PCA MANOVA, scientists morphological experiments DFA. Cluster was widely accepted genetic allele loci frequencies. Statistical assumptions need be when obje...

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