A robust P-spline approach to closed population capture-recapture models with time dependence and heterogeneity

DOI10.1016/J.CSDA.2011.08.004zbMath1239.62011OpenAlexW2054692178MaRDI QIDQ425402

Richard M. Huggins, Jakub Stoklosa

Publication date: 8 June 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.08.004

zbMATH Keywords

robust statisticssemiparametricHorvitz-Thompson estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07) Nonparametric robustness (62G35) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (7)

Accounting for contamination and outliers in covariates for open population capture-recapture models ⋮ Estimating the size of an open population with massive datasets based on a generalized varying-coefficient model ⋮ Estimating population size of heterogeneous populations with large data sets and a large number of parameters ⋮ Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models ⋮ Mixture regression models for closed population capture-recapture data ⋮ Special issue on robust analysis of complex data ⋮ Cormack-Jolly-Seber model with environmental covariates: A P-spline approach

Uses Software

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• VGAM
• gamair

Cites Work

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