A conditional generalized least squares method for estimating the size of a closed population

R. N. Crittenden, Gary Thomas

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

In the corrected Leslie-DeLury catch-per-unit-effort method, estimation of the corrected cumulative catches causes the underlying model to be an errors-in-covariates structural model with a nondiagonal dispersion matrix. This violates the assumptions of regression and causes the corrected Leslie-DeLury method to give biased estimates of the population size and its variance. Generalized least squares and a controlled variables design were used to resolve these difficulties, obtain the minimum-variance unbiased linear estimator, and compute unbiased variance estimates. The method was applied to sockeye salmon fingerlings (Oncorhynchus nerka) netted in a hatchery pond. For these data, the corrected Leslie-DeLury method underestimates the standard error of the population size by 41%. -from Authors

Original languageEnglish
Title of host publicationCanadian Journal of Fisheries and Aquatic Sciences
Pages818-823
Number of pages6
Volume46
Edition5
StatePublished - Dec 1 1989
Externally publishedYes

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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    Crittenden, R. N., & Thomas, G. (1989). A conditional generalized least squares method for estimating the size of a closed population. In Canadian Journal of Fisheries and Aquatic Sciences (5 ed., Vol. 46, pp. 818-823)