NONPARAMETRIC METHOD FOR ESTIMATING THE SIZE OF AN OPEN POPULATION USING MARGINAL DATA FROM REPEATED MULTIPLE LISTS

DOI10.1111/j.1467-842X.2007.00482.xzbMath1136.62330WikidataQ113796669 ScholiaQ113796669MaRDI QIDQ5449891

Paul S. F. Yip, Danping Liu, Richard M. Huggins

Publication date: 19 March 2008

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

kernel smoothinglog-linear modelspopulation size estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items

Estimating population size of heterogeneous populations with large data sets and a large number of parameters

Uses Software

• SemiPar
• CARE1

Cites Work

• Unnamed Item
• Population size estimation using local sample coverage for open populations.
• Estimation of the Size of an Open Population Using Local Estimating Equations II: A Partially Parametric Approach
• Log-Linear Models for Capture-Recapture
• Estimating the Number of Classes via Sample Coverage
• Semiparametric Regression
• Estimation of the Size of an Open Population from Capture‐Recapture Data Using Weighted Martingale Methods