Improved Item Sum Technique for Estimating Population Mean with Sensitive Variables)

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 Improved Ratio Type Predictive Estimator for Estimating Finite Population Mean Using Auxiliary Information

In the present article, motivated by Jeelani et al. (2013), we have made an attempt to develop an improved ratio type estimator of population mean using predictive method of estimation by using linear combination of coefficient of skewness and the quartile deviation of auxiliary variable. The mathematical expressions for the bias and mean squared error (MSE) of the proposed estimator up to the ...

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

This study proposes improved chain-ratio type estimator for estimating population mean using some known values of population parameter(s) of the second auxiliary character. The proposed estimators have been compared with two-phase ratio estimator and some other chain ratio type estimators. The performances of the proposed estimators have been supported with a numerical illustration.

Ranked Set Sampling Using Auxiliary Variables of a Randomized Response Procedure for Estimating the Mean of a Sensitive Quantitative Character

On Presentation a new Estimator for Estimating of Population Mean in the Presence of Measurement error and non-Response

Introduction According to the classic sampling theory, errors that are mainly considered in the estimations are sampling errors.  However, most non-sampling errors are more effective than sampling errors in properties of estimators. This has been confirmed by researchers over the past two decades, especially in relation to non-response errors that are one of the most fundamental non-immolation...