Open AccessASSESSING THE PERFORMANCE OF SOME RE-SAMPLING METHODS USING LOGISTIC REGRESSION
Author(s) -
U. Usman,
M. Waziri,
Faruk Manu,
Yahaya Zakari,
H. G. Dikko
Publication year - 2021
Publication title -
fudma journal of sciences
Language(s) - English
Resource type - Journals
ISSN - 2616-1370
DOI - 10.33003/fjs-2021-0501-589
Subject(s) - jackknife resampling , logistic regression , statistics , demography , marital status , simple random sample , population , sampling (signal processing) , regression analysis , econometrics , psychology , geography , mathematics , computer science , sociology , filter (signal processing) , estimator , computer vision
This research reports on the performance of two re-sampling methods (Bootstrap and Jackknife) relationship and significance of social-economic factors (age, gender, marital status and settlement) 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, marital status and settlement) 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 and Jackknife re-sampled. From the analysis obtained from the two re-sampling methods, we can conclude that HIV transmission in Kebbi state is higher among the married couples than single individuals and concentrate more in the rural areas.