Mohammadi, Mohammad A variance bound for unbiased estimation in inverse sampling without replacement. (English) Zbl 1408.62022 Stat. Pap. 59, No. 4, 1649-1655 (2018). Summary: In this paper we derive a bound for the variance of unbiased estimator of the finite population proportion under inverse sampling without replacement. MSC: 62D05 Sampling theory, sample surveys Keywords:finite population; inverse sampling; negative hypergeometric; variance bound PDFBibTeX XMLCite \textit{M. Mohammadi}, Stat. Pap. 59, No. 4, 1649--1655 (2018; Zbl 1408.62022) Full Text: DOI References: [1] Espejo, MR; Singh, HP; Saxena, S., On inverse sampling without replacement, Stat Pap, 49, 133-137, (2008) · Zbl 1152.62006 · doi:10.1007/s00362-006-0376-x [2] Kendall MG, Stuart A (1967) The advanced theory of statistics, 2nd edn. Griffin, London · Zbl 0416.62001 [3] Mikulsky, PW; Smith, PJ, A variance bound for unbiased estimation in inverse sampling, Biometrika, 63, 216-217, (1976) · Zbl 0326.62024 · doi:10.1093/biomet/63.1.216 [4] Sathe, YS, Sharper variance bounds for unbiased estimation in inverse sampling, Biometrika, 64, 425-426, (1977) · Zbl 0362.62033 · doi:10.1093/biomet/64.2.425 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.