Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/13946
Title: Application of Bootstrap Re-sampling Method to a Categorical Data of HIV/AIDS Spread across different Social-Economic Classes
Authors: Bello, A. O.
Ogutolu, F. A.
Adetutu, O. M.
Nyor, N.
Ojedoku, J. P.
Keywords: HIV
Category data
Large-Sample inference
Multiple Split Sample Procedure
logistic regression
probability plots
Issue Date: Jun-2015
Publisher: Scientific and Academic Publishing
Citation: Bello, 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.
Abstract: stract 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: https://doi:10.5923/j.statistics.20150504.04
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13946
ISSN: 2168-5215
Appears in Collections:Mathematics



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.