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Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16354
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dc.contributor.authorBello, A. O.-
dc.contributor.authorOguntolu, F. A.-
dc.contributor.authorAdetutu, O. M.-
dc.contributor.authorNyor, Ngutor-
dc.contributor.authorOjedokun, J. P.-
dc.date.accessioned2022-12-31T06:52:01Z-
dc.date.available2022-12-31T06:52:01Z-
dc.date.issued2015-04-05-
dc.identifier.citationInternational Journal of Statistics and Applications, 5(4), pp. 157-168. http//journal.org/statisticsen_US
dc.identifier.issn2168-5193-
dc.identifier.issn2168-5215-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/16354-
dc.description.abstractThis research reports on the relationship and significance of social-economic factors (age, gender, employment status) and mode of HIV/AIDS transmission to the HIV/AIDS spread. Logistic regression model, a form of probabilistic function for binary response was used to relate social-economic factors (age, sex, employment status) to HIV/AIDS spread. The statistical predictive model was used to project the likelihood response of HIV/ AIDS spread with a large population using 10,000 Bootstrap re-sampled observations.en_US
dc.language.isoen_USen_US
dc.subjectHIVen_US
dc.subjectcategory dataen_US
dc.subjectLarge-sample inferenceen_US
dc.subjectmultiple split sample procedure logistic regressionen_US
dc.subjectprobability plotsen_US
dc.titleApplication of Bootstrap Re-Sampling Method to a Categorical Data of HIV/AIDS Spread across Different Social-Economic Classesen_US
dc.typeArticleen_US
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