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Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute

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Title: Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute

Authors: Rajesh Singh, Pankaj Chauhan, Nirmala Sawan, Florentin Smarandache

Journal: Pakistan Journal of Statistics and Operation Research

HEC Recognition History
Category From To
Y 2020-07-01 2021-06-30

Publisher: Asiatic Region

Country: Pakistan

Year: 2008

Volume: 4

Issue: 1

Language: English

DOI: 10.18187/pjsor.v4i1.60

Categories
Sampling (41) Survey Methodology (187) Mathematics (5170) Econometrics (4472) Statistics (8857)

Abstract

Some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are proposed. Under simple random sampling without replacement (SRSWOR) scheme, the expressions of bias and mean-squared error (MSE) up to the first order of approximation are derived. The results obtained have been illustrated numerically by taking some empirical population considered in the literature.

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