Singlestage Cluster Sampling with Binary Misclassification Errors

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dc.contributor.authorOdongo, L. O.
dc.contributor.authorKahiri, J.M.
dc.contributor.authorKaroki, S.G.
dc.date.accessioned2014-01-03T12:11:23Z
dc.date.available2014-01-03T12:11:23Z
dc.date.issued2012
dc.description.abstractMisclassification errors in single stage cluster sampling are considered where a binary variable is under study. The expectation and variance of the estimator is derived assuming correlated response errors. It is shown that the level of homogeneity within clusters with respect to the characteristics under study has a bearing on the structure of the errors in the parameter estimates. Asymmetric and symmetric errors are considered in the empirical work.en_US
dc.identifier.citationThe East African Journal of Statistics Volume 5, Number I, pp. 58- 81, 2012en_US
dc.identifier.issn1811-7503
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/8337
dc.language.isoenen_US
dc.publisherJKUAT Press Ltden_US
dc.subjectMisclassification errorsen_US
dc.subjectSimple response errorsen_US
dc.subjectCorrelated errorsen_US
dc.titleSinglestage Cluster Sampling with Binary Misclassification Errorsen_US
dc.typeArticleen_US
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