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|標題:||A Measurement Error Model for Heterogeneous Capture Probabilities in Mark-Recapture Experiments: An Estimating Equation Approach||作者:||Huggins, R.
|關鍵字:||Horvitz-Thompson;Mark-recapture;Measurement error;Population size;line transect surveys;size||Project:||Journal of Agricultural Biological and Environmental Statistics||期刊/報告no：:||Journal of Agricultural Biological and Environmental Statistics, Volume 15, Issue 2, Page(s) 198-208.||摘要:||
Logistic models for capture probabilities that depend on covariates are effective if the covariates can be measured exactly. If there is measurement error so that a surrogate for the covariate is observed rather than the covariate itself, simple adjustments may be made if the parameters of joint distribution of the covariate and the surrogate are known. Here we consider the case when a surrogate is observed whenever an individual is captured and the parameters must also be estimated from the data. An estimating equation regression calibration approach is developed and it is illustrated on a real dataset where the surrogate is an individual bird's wing-length, which varies from occasion to occasion. This article has supplementary material online.
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