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PRINT ISSN : 2319-7692 Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
In the present study, we have developed new estimators for the estimation of finite population variance by using auxiliary information as combination of conventional and non-conventional measures. Bias and mean square error has been worked out up to the first order of approximation. The empirical study has been carried out through numerical demonstration, under which improved estimators have performed better than the other existing estimators.
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