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A linear model for estimating the size of a closed population
Author(s) -
Bonett Douglas G.,
Woodward J. Arthur,
Bentler P. M.
Publication year - 1986
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1986.tb00843.x
Subject(s) - statistic , statistics , wald test , mathematics , sampling (signal processing) , population size , linear model , population , generalized linear model , econometrics , generalized linear mixed model , log linear model , computer science , statistical hypothesis testing , demography , filter (signal processing) , sociology , computer vision
A linear model for estimating the size of a closed population is developed that will accommodate both dependent samples and heterogeneity of capture in multiple recapture sampling studies. Model parameters are estimated under exact and stochastic linear constraints and a Wald statistic is defined for evaluating constraints on model parameters and subpopulation sizes. Applications to survey research and experimental psychology are discussed.