Estimation of survival and capture probabilities in open population capture–recapture models when covariates are subject to measurement error

• Published in: Computational statistics & data analysis Vol. 96; pp. 74 - 86
• Main Authors: Stoklosa, Jakub, Dann, Peter, Huggins, Richard M., Hwang, Wen-Han
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2016
• Subjects: calibration; case studies; Cormack–Jolly–Seber model; Error-in-variables; Eudyptula minor; Little Penguins; Mark–capture–recapture; population size; Regression calibration; SIMEX; statistical analysis; surface water temperature; Mark–capture–recapture; SIMEX; Regression calibration; Cormack–Jolly–Seber model; Error-in-variables; Little Penguins

Predictor variables (or covariates) are frequently used in a capture–recapture analysis when estimating demographic quantities such as population size or survival probabilities. If these predictor variables are measured with error and subsequently used in the analysis, then estimates of the model pa...