Simulation study on unit non response

Maryam Tagharobi, Sunil Kumar


This article presents the usefulness of the Singh and Kumar’s estimators in practice for estimating the population mean of the study variable by using auxiliary variable in the presence of non-response. Singh and Kumar have considered large population and sample sizes for ignoring the effect of bias in the estimators to show the efficiency in terms of variances. In Simulation study, wehave considered biases while calculating the simulation mean squared error for different population and sample sizes, it sounds thatin some specificsituation the results have supportedthe theoretical study under various conditions of correlation coefficient, non-response rate and the sample size, respectively.


  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.