Open Access Open Access  Restricted Access Subscription or Fee Access

On the Adjustment of Non-Response through Imputation for estimating the Population Mean in Stratified Population

Ajeet Kumar Singh, Priyanka Singh, Abhishek Kumar, V.K. Singh


We have proposed some imputation methods for estimating the population mean when data are missing in stratified population (under pre - stratification and post stratification). Deriving the bias and Mean Square Error (MSE) equations of the proposed estimators. Also we show that the condition under which Exponential-type compromised imputation is better than sample mean, ratio method, and the estimator in Singh and Horn (2000) in the case of non-response. The MSE and PRE have been obtained with different non-response rates for two data sets.


Imputation methods, bias and MSE, stratified population, efficiency.

Full Text:


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. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.