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dc.contributor.authorNgesa, Oscar O
dc.contributor.authorOrwa, George O
dc.contributor.authorOtieno, Romanus Odhiambo
dc.contributor.authorMurray, Henry M
dc.date.accessioned2018-11-20T16:18:13Z
dc.date.accessioned2020-02-06T14:01:25Z
dc.date.available2018-11-20T16:18:13Z
dc.date.available2020-02-06T14:01:25Z
dc.date.issued2012
dc.identifier.citationNgesa, O. O., Orwa, G. O., Otieno, R. O., & Murray, H. M. (2012). Multivariate ratio estimator of the population total under stratified random sampling. Open Journal of Statistics, 2(03), 300.en_US
dc.identifier.urifile:///C:/Users/Library/Downloads/OJS20120300005_28255412.pdf
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/979
dc.description.abstractOlkin [1] proposed a ratio estimator considering p auxiliary variables under simple random sampling. As is expected, Simple Random Sampling comes with relatively low levels of precision especially with regard to the fact that its variance is greatest amongst all the sampling schemes. We extend this to stratified random sampling and we consider a case where the strata have varying weights. We have proposed a Multivariate Ratio Estimator for the population mean in the presence of two auxiliary variables under Stratified Random Sampling with L strata. Based on an empirical study with simulations in R statistical software, the proposed estimator was found to have a smaller bias as compared to Olkin’s estimator.en_US
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectRatio Estimator; Stratification; Auxiliary Variables; Lagrange’s Multiplieren_US
dc.titleMultivariate ratio estimator of the population total under stratified random samplingen_US
dc.typeArticleen_US


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