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Management Briefs: Sample Sizes for Estimating and Comparing Proportion‐Based Indices
Author(s) -
Miranda L. Esteban
Publication year - 1993
Publication title -
north american journal of fisheries management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 72
eISSN - 1548-8675
pISSN - 0275-5947
DOI - 10.1577/1548-8675(1993)013<0383:mbssfe>2.3.co;2
Subject(s) - undersampling , oversampling , statistics , sample size determination , fish <actinopterygii> , sample (material) , confidence interval , sampling (signal processing) , mathematics , econometrics , computer science , fishery , biology , artificial intelligence , computer network , chemistry , bandwidth (computing) , chromatography , filter (signal processing) , computer vision
Fishery managers often compute proportion‐based indices to describe, compare, or monitor changes in fish populations. Knowledge of the sample size required to estimate these indices would reduce wasted effort by avoiding undersampling and oversampling. I review methods for determining the sample size needed to estimate a proportion with a preset confidence interval, to detect a specified difference between two proportions, and to detect a change in a proportion.