Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2971
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dc.contributor.authorA. O. Bello-
dc.contributor.authorF. A. Oguntolu-
dc.contributor.authorO. M. Adetutu-
dc.contributor.authorNyor, Ngutor-
dc.contributor.authorJ. P. Ojedokun-
dc.date.accessioned2021-06-14T00:58:06Z-
dc.date.available2021-06-14T00:58:06Z-
dc.date.issued2015-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/2971-
dc.description.abstractThis research reports on the relationship and significance of social-economic factors (age, gender, employment status) and modes 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 larger population using 10,000 Bootstrap re-sampled observations.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Statistics and Applicationsen_US
dc.subjectHIV, Category data, Large-Sample inference, Multiple Split Sample Procedure logistic regression and probability 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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