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Improved class of estimators of finite population mean using sampling fraction and information on two auxiliary variables in sample surveys

This paper suggested a generalized class of estimators using information on two auxiliary va-riables and sampling fraction in simple random sampling. The bias and mean squared error for-mulae of suggested class have been derived under large sample approximation and compared with usual unbiased estimator and Singh’s (1967) ratio-cum-product estimator. The theoretical findings have been satisfied with an empirical study.
Year of publication:
2013
Authors: Singh, Housila P. ; Rathour, Anjana ; Solanki, Ramkrishna S.
Published in:
Statistica. - Dipartimento di Scienze Statistiche "Paolo Fortunati", ISSN 0390-590X. - Vol. 73.2013, 3, p. 353-361
Publisher: Dipartimento di Scienze Statistiche "Paolo Fortunati"
Subject: Study variable | two auxiliary variable | Bias | mean square error | simple random sampling
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Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10010903749
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