Bayesian Analysis in Capture-Recapture Models with Measurement Errors
碩士 === 逢甲大學 === 統計與精算所 === 92 === The purpose of this article is to study the estimation of population size in capture-recapture models when the covariates are subject to measurement errors. The bias appears in using original approach (Huggins, 1989) to estimate the regression parameter and populat...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/08881603596551428818 |
| Summary: | 碩士 === 逢甲大學 === 統計與精算所 === 92 === The purpose of this article is to study the estimation of population size in capture-recapture models when the covariates are subject
to measurement errors. The bias appears in using original approach (Huggins, 1989) to estimate the regression parameter and population size when the covariates are subject to measurement errors. This article uses Bayesian estimation via Markov Chain Monte Carlo (MCMC) methods to estimate the regression parameter and
population size, then evaluates the result of estimation by a simulation experiment and a real data analysis.
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