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 |
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Journal Article of IIMA