A SEMIPARAMETRIC REGRESSION MODEL WITH MISSING COVARIATES IN CONTINUOUS-TIME CAPTURE-RECAPTURE STUDIES

DOI10.1111/J.1467-842X.2005.00394.XzbMath1127.62332MaRDI QIDQ5438572

Yan Wang

Publication date: 24 January 2008

Published in: Australian <html_ent glyph="@amp;" ascii="&amp;"/> New Zealand Journal of Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (3)

Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies ⋮ Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random ⋮ Population size estimation with covariate values missing non-ignorable

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