Please use this identifier to cite or link to this item: http://archive.cmb.ac.lk:8080/xmlui/handle/70130/6815
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dc.contributor.authorWeerasekera, D. R.-
dc.date.accessioned2022-07-04T09:18:08Z-
dc.date.available2022-07-04T09:18:08Z-
dc.date.issued1990-
dc.identifier.urihttp://archive.cmb.ac.lk:8080/xmlui/handle/70130/6815-
dc.description.abstractThe usual chi-squared testing procedure to test independence between variables in two-way contingency tables assumes that the observations are independent or come from simple random sampling. This assumption is invalid for data from complex survey designs, and hence some adjustments to this test have been developed in the recent past.en_US
dc.language.isoenen_US
dc.publisherFaculty of Science, University of Colomboen_US
dc.titleAdjustments to the Pearson and Mantel-Haenszel Chi-squared tests for data from complex surveysen_US
dc.typeThesisen_US
Appears in Collections:MPhil/PhD theses

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