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Application of two tests of multivariate discordancy to fisheries data sets

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Application of two tests of multivariate discordancy to fisheries data sets; 2008; Article; Journal; Environmental Biology of Fishes; Stapanian, M. A.; Kocovsky, P. M.; Garner, F. C.

Summary

The generalized (Mahalanobis) distance and multivariate kurtosis are two powerful tests of multivariate discordancies (outliers). Unlike the generalized distance test, the multivariate kurtosis test has not been applied as a test of discordancy to fisheries data heretofore. We applied both tests, along with published algorithms for identifying suspected causal variable(s) of discordant observations, to two fisheries data sets from Lake Erie: total length, mass, and age from 1,234 burbot, Lota lota; and 22 combinations of unique subsets of 10 morphometrics taken from 119 yellow perch, Perca flavescens. For the burbot data set, the generalized distance test identified six discordant observations and the multivariate kurtosis test identified [...]

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Type Scheme Key
local-index unknown 70000312
local-pk unknown 70000312
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1007/s10641-007-9294-6
series unknown Environmental Biology of Fishes

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citationTypeArticle
journalEnvironmental Biology of Fishes
languageEnglish
parts
typevolume
value82
typeissue
value4

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