Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2971
Title: Application of Bootstrap Re-Sampling Method to a Categorical Data of HIV/AIDS Spread across Different Social-Economic Classes
Authors: A. O. Bello
F. A. Oguntolu
O. M. Adetutu
Nyor, Ngutor
J. P. Ojedokun
Keywords: HIV, Category data, Large-Sample inference, Multiple Split Sample Procedure logistic regression and probability plots
Issue Date: 2015
Publisher: International Journal of Statistics and Applications
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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2971
Appears in Collections:Mathematics

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