Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/13946
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dc.contributor.authorBello, A. O.-
dc.contributor.authorOgutolu, F. A.-
dc.contributor.authorAdetutu, O. M.-
dc.contributor.authorNyor, N.-
dc.contributor.authorOjedoku, J. P.-
dc.date.accessioned2021-11-02T11:44:44Z-
dc.date.available2021-11-02T11:44:44Z-
dc.date.issued2015-06-
dc.identifier.citationBello, A. O., Oguntolu, F. A., Adetutu, O. M., Nyor, N. & Ojedokun J. P. (2015). Application of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic Classes. International Journal of Statistics and Applications 5(4), 157-168.en_US
dc.identifier.issn2168-5215-
dc.identifier.urihttps://doi:10.5923/j.statistics.20150504.04-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/13946-
dc.description.abstractstract This 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.publisherScientific and Academic Publishingen_US
dc.subjectHIVen_US
dc.subjectCategory dataen_US
dc.subjectLarge-Sample inferenceen_US
dc.subjectMultiple Split Sample Procedureen_US
dc.subjectlogistic 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
Appears in Collections:Mathematics



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