Numerical versus asymptotic sequential interval estimation of population sizes

DOI10.1016/j.cam.2021.113718zbMath1469.62322OpenAlexW3182181562MaRDI QIDQ2043208

Debanjan Bhattacharjee, Nitis Mukhopadhyay, Ivair R. Silva

Publication date: 29 July 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113718

zbMATH Keywords

coverage probabilitynegative binomialinverse samplingnegative hypergeometricfixed-accuracyfixed-width

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Computational methods for problems pertaining to statistics (62-08) Applications of statistics to social sciences (62P25) Sequential estimation (62L12)

Cites Work

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• Bootstrap methods: another look at the jackknife
• Confidence intervals through sequential Monte Carlo
• Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
• Approximations for a fixed sample size selection procedure for negative binomial populations
• Sequential Methods and Their Applications
• Sequentially estimating the required optimal observed number of tagged items with bounded risk in the recapture phase under inverse binomial sampling
• On the Asymptotic Theory of Fixed-Width Sequential Confidence Intervals for the Mean
• Finding the Size of a Finite Population
• Sequential Sampling Tagging for Population Size Problems

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