AN EFFICIENT COMPROMISED IMPUTATION METHOD FOR ESTIMATING POPULATION MEAN

Modified Sampling Strategies Using Correlation Coefficient for Estimating Population Mean

This paper proposes two sampling strategies based on the modified ratio estimator using the population mean of auxiliary variable and population correlation coefficient between the study variable and the auxiliary variable by Singh and Tailor (2003) for estimating the population mean (total) of the study variable in a finite population. A comparative study is made with usual sampling strategies...

AN AMALGAMATED METHOD FOR ESTIMATING AGE-RELATED CENTILES

Efficient Exponential Ratio Estimator for Estimating the Population Mean in Simple Random Sampling

This paper proposes, with justification, two exponential ratio estimators of population mean in simple random sampling without replacement. Their biases and mean squared error are derived and compared with existing related ratio estimators. Analytical and numerical results show that at optimal conditions, the proposed ratio estimators are always more efficient than the regression estimator and ...

On the regression method of estimation of population mean from incomplete survey data through imputation

When some observations in the sample data are missing, the application of the regression method is considered for the estimation of population mean with and without the use of imputation. The performance properties of the estimators based on the methods of mean imputation, regression imputation and no imputation are analyzed and the superiority of one method over the other is examined.

Exponential - Type Compromised Imputation in Survey Sampling

To deal with the problems of non response, one parameter classes of imputation techniques have been suggested and their corresponding point estimators have been proposed. The proposed estimator is more efficient than several other estimators. A design based approach is used to compare the proposed strategy with existing strategies. Theoretical results have been verified through empirical studie...