Estimating a Finite Population Mean under Random Non-Response in Two Stage Cluster Sampling with Replacement

Estimating Variance of the Sample Mean in Two-phase Sampling with Unit Non-response Effect

In sample surveys, we always deal with two types of errors: Sampling error and non-sampling error. One of the most common non-sampling errors is nonresponse. This error happens when some sample units are not observed or viewed but they do not answer some of the questions. The complete prevention of this error is not possible, but it can be significantly reduced. The non-response causes bias and ...

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...

Some estimators for a finite population mean under two-stage sampling using multivariate auxiliary information

In this paper, we have derived difference, regression and predictor estimators for two-stage sampling with unequal first-stage units using multivariate auxiliary information. The mean square error of these estimators have been derived. A numerical illustration is given for finding the relative comparisons. 2003 Elsevier Inc. All rights reserved.

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

Model-based estimates of the finite population mean for two-stage cluster samples with unit non-response

We propose new model-based methods for unit non-response in two-stage survey samples. A commonly used design-based adjustment weights respondents by the inverse of the estimated response rate in each cluster (method WT). This approach is consistent if the response probabilities are constant within clusters but is potentially inefficient when the estimated cluster response rates are very variabl...