Application of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic Classes
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific & Academic Publishing
Abstract
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.
Description
Keywords
HIV, Category data, Large-Sample inference, Multiple Split Sample Procedure logistic regression, probability plots
Citation
A.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