Estimation of survival and capture probabilities in open population capture-recapture models when covariates are subject to measurement error
DOI10.1016/J.CSDA.2015.10.010zbMath1468.62183OpenAlexW1845080361MaRDI QIDQ1659466
Jakub Stoklosa, Richard M. Huggins, Wen-Han Hwang, Peter Dann
Publication date: 15 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2015.10.010
regression calibrationCormack-Jolly-Seber modelerror-in-variablesSIMEXLittle Penguinsmark-capture-recapture
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to environmental and related topics (62P12)
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- SIMEX and standard error estimation in semiparametric measurement error models
- A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: an estimating equation approach
- Full open population capture-recapture models with individual covariates
- Measurement errors in continuous-time capture-recapture models
- Nonparametric Kernel Methods with Errors-in-Variables: Constructing Estimators, Computing them, and Avoiding Common Mistakes
- Cormack-Jolly-Seber model with environmental covariates: A P-spline approach
- Estimation in Capture‐Recapture Models When Covariates Are Subject to Measurement Errors
- Semiparametric Regression in Capture-Recapture Modeling
- A New Method for Analysing Discrete Life History Data with Missing Covariate Values
- Estimation in captureâ recapture models when covariates are subject to measurement errors and missing data
- Measurement error in the generalised linear model
- Simulation-Extrapolation Estimation in Parametric Measurement Error Models
- Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements
- Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach
- The use of auxiliary variables in capture-recapture modelling: An overview
- Measuring density dependence in survival from mark-recapture data
- A Unifying Model for Capture–Recapture and Distance Sampling Surveys of Wildlife Populations
- An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus
- Measurement Error in Nonlinear Models
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