Approximate estimations in capture–recapture model with heteroscedastic measurement errors
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Publication:5220753
DOI10.1080/00949655.2013.845669zbMath1457.62348OpenAlexW2037553659MaRDI QIDQ5220753
Wen-Han Hwang, Yih-Huei Huang, Fei-Yin Chen
Publication date: 27 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2013.845669
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Cites Work
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- Estimating animal abundance. Closed populations
- A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: an estimating equation approach
- The Use of Auxiliary Variables in Capture-Recapture and Removal Experiments
- A Semiparametric Method for Estimating Population Size for Capture-Recapture Experiments with Random Covariates in Continuous Time
- Estimation in Capture‐Recapture Models When Covariates Are Subject to Measurement Errors
- Logistic Regression in Capture-Recapture Models
- Estimation in captureâ recapture models when covariates are subject to measurement errors and missing data
- The effects of measurement error on parameter estimation
- On the statistical analysis of capture experiments
- Miscellanea. A modified estimating equation approach to correcting for measurement error in regression
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models
- Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
- The use of auxiliary variables in capture-recapture modelling: An overview
- Measurement Error in Nonlinear Models
- Are There Two Regressions?
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