Comparison of Stopping Rules in Sequential Estimation of the Number of Classes in a Population

DOI10.1080/07474940701620816zbMath1124.62057OpenAlexW2041529103MaRDI QIDQ5431471

Subrata Kundu, Tapan K. Nayak

Publication date: 10 December 2007

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474940701620816

zbMATH Keywords

completenessunbiasednessadmissibilitysufficiencycapture-recapture

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Sequential statistical analysis (62L10) Admissibility in statistical decision theory (62C15) Optimal stopping in statistics (62L15) Complete class results in statistical decision theory (62C07)

Related Items (1)

Sequential search algorithm for estimation of the number of members of a given population

Cites Work

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• On statistical analysis of a sample from a population of unknown species
• A note on Bahadur's transitivity
• Statistical information and expected number of observations for sequential experiments
• A note on sequential estimation of the size of a population under a general loss function
• Estimating the Number of Classes via Sample Coverage
• A numerical comparison between sequential tagging and sequential recapture
• Statistical Inference in the Classical Occupancy Problem Unbiased Estimation of the Number of Classes
• Sequential Maximum Likelihood Estimation of the Size of a Population
• Sequential estimation of the size of a population
• Conditional Expectation and Unbiased Sequential Estimation
• Sequential Sampling Tagging for Population Size Problems
• Equivalent Comparisons of Experiments
• Sufficiency and Statistical Decision Functions

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