Improved ratio-type estimators of finite population variance using quartiles

Year 2015, Volume: 44 Issue: 3, 747 - 754, 01.06.2015

Ramkrishna S. Solanki Housila P. Singh Surya K. Pal§

Abstract

In this paper we have proposed some ratio-type estimators of finite
population variance using known values of parameters related to an
auxiliary variable such as quartiles with their properties in simple random sampling. The suggested estimators have been compared with
the usual unbiased and ratio estimators and the estimators due to [2],
[12, 13, 14] and [3]. An empirical study is also carried out to judge
the merits of the proposed estimator over other existing estimators of
population variance using natural data set. 

Keywords

Study variable, Auxiliary variable, Bias, Mean squared error, Quartiles, Simple random sampling

References

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