Application of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic Classes

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dc.contributor.authorA. O. Bello
dc.contributor.authorF. A. Oguntolu
dc.contributor.authorO. M. Adetutu
dc.contributor.authorJ. P. Ojedokun
dc.date.accessioned2025-05-05T13:51:49Z
dc.date.issued2015
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.
dc.identifier.citationA.O. Bello, F. A. Oguntolu, O. M. Adetutu, N. Nyor & J.P. Ojedokun (2015): Application of Bootstrap Re-sampling Method to categorical Data of HIV/AIDS Spread across different Socio-Economical Classes: International Journal of Statistics and Applications; 5(4): 157-168. p-ISSN: 2168-5193; e-ISSN: 2168-5215; http://article.sapub.org/10.5923.j.statistics.20150504.04.html
dc.identifier.doi10.48550/arxiv.1609.07806
dc.identifier.issn2168-5193
dc.identifier.issn2168-5215
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1881
dc.language.isoen
dc.publisherScientific & Academic Publishing
dc.subjectHIV
dc.subjectCategory data
dc.subjectLarge-Sample inference
dc.subjectMultiple Split Sample Procedure logistic regression
dc.subjectprobability plots
dc.titleApplication of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic Classes
dc.typeArticle

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