Theoretical comparisons of estimators of finite population proportion under simple random sampling

dc.contributor.author	Adhya, Sumanta
dc.contributor.author	Banerjee, Tathagata
dc.date.accessioned	2020-05-29T04:51:31Z
dc.date.available	2020-05-29T04:51:31Z
dc.date.issued	2019
dc.identifier.issn	2452-7395
dc.identifier.uri	http://hdl.handle.net/11718/23037
dc.description.abstract	We 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.iso	en_US	en_US
dc.publisher	Society of Statistics, Computer and Applications	en_US
dc.subject	Model-based	en_US
dc.subject	Model-assisted	en_US
dc.subject	Anticipated variance	en_US
dc.title	Theoretical comparisons of estimators of finite population proportion under simple random sampling	en_US
dc.type	Article	en_US