z-logo
Premium
Improved log‐linear model estimators of abundance in capture‐recapture experiments
Author(s) -
Rivest LouisPaul,
Lévesque Tina
Publication year - 2001
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3316007
Subject(s) - estimator , abundance (ecology) , statistics , log linear model , mark and recapture , mathematics , linear model , monte carlo method , population , mean squared error , abundance estimation , generalized linear model , biology , ecology , demography , sociology
The authors review log‐linear models for estimating the size of a closed population and propose a new log‐linear estimator for experiments having between animal heterogeneity and a behavioral response. They give a general formula for evaluating the asymptotic biases of estimators of abundance derived from log‐linear models. They propose simple frequency modifications for reducing these asymptotic biases and investigate the modifications in a Monte Carlo experiment which reveals that they reduce both the bias and the mean squared error of abundance estimators.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here