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

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dc.contributor.authorBii, Nelson Kiprono
dc.contributor.authorOnyango, Christopher Ouma
dc.contributor.authorOdhiambo, John
dc.date.accessioned2017-12-28T12:39:38Z
dc.date.available2017-12-28T12:39:38Z
dc.date.issued2017
dc.descriptionResearch Articleen_US
dc.description.abstractNon-response is a regular occurrence in Sample Surveys. Developing estimators when non-response exists may result in large biases when estimating population parameters. In this paper, a finite population mean is estimated when non-response exists randomly under two stage cluster sampling with replacement. It is assumed that non-response arises in the survey variable in the second stage of cluster sampling. Weighting method of compensating for non-response is applied. Asymptotic properties of the proposed estimator of the population mean are derived. Under mild assumptions, the estimator is shown to be asymptotically consistent.en_US
dc.identifier.citationBii, N.K., Onyango, C.O. and Odhiambo, J. (2017) Estimating a Finite Population Mean under Random Non-Response in Two Stage Cluster Sampling with Replacement. Open Journal of Statistics , 7, 834-848. https://doi.org/10.4236/ojs.2017.75059en_US
dc.identifier.issn2161-7198
dc.identifier.issn2161-718X
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/18012
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectNon-Responseen_US
dc.subjectNadaraya-Watson Estimationen_US
dc.subjectTwo Stage Cluster Samplingen_US
dc.titleEstimating a Finite Population Mean under Random Non-Response in Two Stage Cluster Sampling with Replacementen_US
dc.typeArticleen_US
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