Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/16354
Title: Application of Bootstrap Re-Sampling Method to a Categorical Data of HIV/AIDS Spread across Different Social-Economic Classes
Authors: Bello, A. O.
Oguntolu, F. A.
Adetutu, O. M.
Nyor, Ngutor
Ojedokun, J. P.
Keywords: HIV
category data
Large-sample inference
multiple split sample procedure logistic regression
probability plots
Issue Date: 5-Apr-2015
Citation: International Journal of Statistics and Applications, 5(4), pp. 157-168. http//journal.org/statistics
Abstract: This 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/16354
ISSN: 2168-5193
2168-5215
Appears in Collections:Statistics

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