An Alternative Class of Estimators in Double Sampling
Senapati, S.C., and Sahoo, L.N., (2006) An Alternative Class of Estimators in Double Sampling. Bulletin of the Malaysian Mathematical Sciences Society, 29 (1). pp. 89-94. ISSN 0126-6705 Full text not available from this repository. Official URL: http://math.usm.my/bulletin/pdf/v29n1/v29n1p11.pdf AffiliationsRavenshaw College, Dept. of Statistics Utkal University, Dept. of Statistics AbstractUsing double sampling procedure, this paper presents a general class of estimators for the finite population mean when the population mean of the main auxiliary variable is unknown but that of an additional auxiliary variable is known. The proposed class of estimators is superior to some of the previously studied classes under minimum variance criterion.
2000 Mathematics Subject Classification: 62D05 | Item Type: | Journal |
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| Keywords: | Auxiliary variable, bias, double sampling, minimum variance bound, variance. |
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| Subjects: | Q Science, Computer Science |
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| ID Code: | 1437 |
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