Transformed Logit Confidence Intervals for Small Populations in Single Capture–Recapture Estimation

DOI10.1080/03610910903168595zbMath1182.62060OpenAlexW2001010216WikidataQ56505757 ScholiaQ56505757MaRDI QIDQ3652733

Mauricio Sadinle

Publication date: 16 December 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903168595

zbMATH Keywords

asymptotic normalityMonte Carlo studycoverage probabilityodds ratioprofile likelihoodpivotal statisticdual-system estimationexpected width

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to environmental and related topics (62P12) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05)

Uses Software

• ESTIMA
• R

Cites Work

• Bootstrap methods: another look at the jackknife
• Estimating Population Size for Sparse Data in Capture-Recapture Experiments
• Monte Carlo Confidence Intervals
• Logistic Regression in Capture-Recapture Models
• Some Coverage Error Models for Census Data
• On Logit Confidence Intervals for the Odds Ratio with Small Samples
• Capture‐Recapture, Epidemiology, and List Mismatches: Two Lists
• Confidence Intervals for Nearly Unbiased Estimators in Single-Mark and Single-Recapture Experiments

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