Numerical versus asymptotic sequential interval estimation of population sizes.

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dc.contributor.authorSilva, Ivair Ramos
dc.contributor.authorBhattacharjee, Debanjan
dc.contributor.authorMukhopadhyay, Nitis
dc.date.accessioned2023-01-18T17:39:44Z
dc.date.available2023-01-18T17:39:44Z
dc.date.issued2021pt_BR
dc.description.abstractThe challenge of estimating a population size (N) is usually faced with the well-established mark-recapture sampling scheme. The basic idea is to tag t items of the population and then observe the number of tagged items appearing in a subsequent random sample. The frequencies of tagged versus non-tagged items are informative to estimate N. For construction of fixed-width and fixed-accuracy confidence intervals for N, this paper compares a numerical non-replacement-sampling sequential design against an asymptotic replacement-sampling sequential design. While the former has shown to perform better in terms of expected sample size, the latter was found superior in terms of robustness with respect to the magnitude of N.pt_BR
dc.identifier.citationSILVA, I. R.; BHATTACHARJEE, D.; MUKHOPADHYAY, N. Numerical versus asymptotic sequential interval estimation of population sizes. Journal of Computational and Applied Mathematics, v. 398, 2021. Disponível em: <https://www.sciencedirect.com/science/article/pii/S037704272100340X>. Acesso em: 06 jul. 2022.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.cam.2021.113718pt_BR
dc.identifier.issn0377-0427
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/15985
dc.identifier.uri2https://www.sciencedirect.com/science/article/pii/S037704272100340Xpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectCoverage probabilitypt_BR
dc.subjectFixed-accuracypt_BR
dc.subjectFixed-widthpt_BR
dc.subjectInverse samplingpt_BR
dc.subjectNegative binomialpt_BR
dc.titleNumerical versus asymptotic sequential interval estimation of population sizes.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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