Utilization of Some Known Population Parameters for Estimating Population Mean in Presence of Non-Response

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...

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...

Estimating the Population Mean in Stratified Population using Auxiliary Information under Non-Response

Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response

A Family of Estimators for Estimating Population Mean in Stratified Sampling under Non-Response

Khoshnevisan et al. (2007) proposed a general family of estimators for population mean using known value of some population parameters in simple random sampling. The objective of this paper is to propose a family of combined-type estimators in stratified random sampling adapting the family of estimators proposed by Khoshnevisan et al. (2007) under non-response. The properties of proposed family...