Bonfring International Journal of Industrial Engineering and Management Science

Online ISSN: 2277-5056 Print ISSN: 2250-1096 Frequency: 4 Issues/Year

Impact Factor: 0.541 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Almost Unbiased Modified Linear Regression Estimators for Estimation of Population Mean

J. Subramani and G. Kumarapandiyan


Abstract
The present paper deals with a class of modified linear regression type estimators which are almost unbiased. We have derived their variances together with the values for which the proposed class of estimators perform better than the usual linear regression estimator. The performances of these proposed estimators are also assessed for certain natural populations available in the literature. It is observed from the numerical comparisons that the proposed estimators perform better than the existing modified ratio type estimators.
Keywords Auxiliary Variable, Modified Ratio Estimators, Natural Populations, Simple Random Sampling
Volume 2
Issue 2
Pages 24-27
Issue Date June , 2012
Full Text
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