Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/23037
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dc.contributor.authorAdhya, Sumanta-
dc.contributor.authorBanerjee, Tathagata-
dc.date.accessioned2020-05-29T04:51:31Z-
dc.date.available2020-05-29T04:51:31Z-
dc.date.issued2019-
dc.identifier.issn2452-7395-
dc.identifier.urihttp://hdl.handle.net/11718/23037-
dc.description.abstractWe consider the classical survey problem of estimation of finite population proportions based on a polychotomous response variable when data on an auxiliary variable is known for all units in the finite population. Under simple random sampling different model and design-based estimators are compared theoretically and it is shown that model-based estimator performs more efficiently under mild conditions.en_US
dc.language.isoen_USen_US
dc.publisherSociety of Statistics, Computer and Applicationsen_US
dc.subjectModel-baseden_US
dc.subjectModel-assisteden_US
dc.subjectAnticipated varianceen_US
dc.titleTheoretical comparisons of estimators of finite population proportion under simple random samplingen_US
dc.typeArticleen_US
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