Estimation of Population Mean Using Linear Combination of Population Variance and Function of Quartiles of Auxiliary Variable
This paper deals with some new modified ratio estimators using the linear combination of population variance, quartiles and its function of an auxiliary variable. Many attempts have been made in the past to develop the modified ratio estimators for the estimation of the population mean of the study variable using coefficient of variation, coefficient of kurtosis, coefficient of skewness, population correlation coefficient, quartile, quartile deviation, deciles, median and the linear combinations of the auxiliary variable. The mean square error equations of all proposed ratio estimators are obtained theoretically and the efficiency comparisons have been made. An empirical study has been conducted also to support the findings of this study.
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