A New Exponential Ratio-Type Estimator for Population Variance with Linear Combination of Two Auxiliary Attributes (original) (raw)

Introduction In the theory of sample surveys, the utilization of auxiliary information is frequently acknowledged to the higher accuracy of the estimation of population characteristics. Ratio, regression and product methods of estimation are good example of it. There exists many situations when the information is available in the form of attribute which is highly correlated with y. In literature of sampling survey many authors have suggested estimator based on auxiliary information. However in many situations of practical importance, instead of an auxiliary variable x there exists an attribute (say  ) which is highly correlated with study variable y. In these situations by taking the advantage of point bi-serial correlation between the study variable y and the auxiliary attribute  , the efficient estimator