Semiparametric estimation of animal abundance using capture-recapture data from open populations

Richard Huggins

doi:10.1111/j.1541-0420.2005.00508.x

Semiparametric estimation of animal abundance using capture-recapture data from open populations

Richard Huggins^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

A semiparametric partially linear model for the size of an open population is proposed and inference is conducted using weighted martingale estimating equations. This extends a previous nonparametric approach to modeling capture-recapture data for open populations with frequent capture occasions. Analytic expressions for the large sample variances are derived and these are confirmed in a simulation study. The method is illustrated on monthly penguin banding data collected over 6 years.

Original language	English
Pages (from-to)	684-690
Number of pages	7
Journal	Biometrics
Volume	62
Issue number	3
DOIs	https://doi.org/10.1111/j.1541-0420.2005.00508.x
Publication status	Published - Sept 2006

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Cite this

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title = "Semiparametric estimation of animal abundance using capture-recapture data from open populations",

abstract = "A semiparametric partially linear model for the size of an open population is proposed and inference is conducted using weighted martingale estimating equations. This extends a previous nonparametric approach to modeling capture-recapture data for open populations with frequent capture occasions. Analytic expressions for the large sample variances are derived and these are confirmed in a simulation study. The method is illustrated on monthly penguin banding data collected over 6 years.",

keywords = "Capture-recapture, Local estimating equations, Open population, Semiparametric inference",

author = "Richard Huggins",

year = "2006",

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PY - 2006/9

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N2 - A semiparametric partially linear model for the size of an open population is proposed and inference is conducted using weighted martingale estimating equations. This extends a previous nonparametric approach to modeling capture-recapture data for open populations with frequent capture occasions. Analytic expressions for the large sample variances are derived and these are confirmed in a simulation study. The method is illustrated on monthly penguin banding data collected over 6 years.

AB - A semiparametric partially linear model for the size of an open population is proposed and inference is conducted using weighted martingale estimating equations. This extends a previous nonparametric approach to modeling capture-recapture data for open populations with frequent capture occasions. Analytic expressions for the large sample variances are derived and these are confirmed in a simulation study. The method is illustrated on monthly penguin banding data collected over 6 years.

KW - Capture-recapture

KW - Local estimating equations

KW - Open population

KW - Semiparametric inference

UR - https://www.scopus.com/pages/publications/33748795351

U2 - 10.1111/j.1541-0420.2005.00508.x

DO - 10.1111/j.1541-0420.2005.00508.x

M3 - Article

SN - 0006-341X

VL - 62

SP - 684

EP - 690

JO - Biometrics

JF - Biometrics

IS - 3

ER -

Semiparametric estimation of animal abundance using capture-recapture data from open populations

Abstract

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