Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling

Comparison of Ratio Estimators with Two Auxiliary Variables

Many estimators of the population parameters are constructed using known auxiliary variables. The classical well known ratio estimator is one of them. Ratio estimators are frequently employed in sample surveys when estimating the population mean Y of a variate Y with the help of the known population means of a correlated auxiliary variables. Various improvements of this ratio estimator have bee...

Variance Estimation in Two-phase Sampling Using Multi-auxiliary Variables in the Presence of Non-response

The problem of variance estimation in two phase sampling under non response was not considered in the literature. We have adapted the classes of variance estimators suggested by Srivastava and Jhajj (1980) into the two phase sampling under the strategy given by Hansen and Hurwitz (1946) for the problem of non-response. In this paper some more generalize classes of estimators for the population ...

Estimation of the Finite Population Mean in Two Phase Sampling When Auxiliary Variables Are Attributes

We consider the problem of estimating the finite population mean in two phase sampling when some information on auxiliary attributes is available. It is shown that the proposed estimator is more efficient than the usual mean estimator, the S. Bahl and R.K. Tuteja (Ratio and product type exponential estimators, Information and Optimization Sciences 12 (1), 159–163, 1991) estimator and a family o...

A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables

In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We find theoretical conditions that make proposed family estimators more efficient than the traditio...

Exact Sampling Using Auxiliary Variables