Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/2971Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | A. O. Bello | - |
| dc.contributor.author | F. A. Oguntolu | - |
| dc.contributor.author | O. M. Adetutu | - |
| dc.contributor.author | Nyor, Ngutor | - |
| dc.contributor.author | J. P. Ojedokun | - |
| dc.date.accessioned | 2021-06-14T00:58:06Z | - |
| dc.date.available | 2021-06-14T00:58:06Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/2971 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journal of Statistics and Applications | en_US |
| dc.subject | HIV, Category data, Large-Sample inference, Multiple Split Sample Procedure logistic regression and probability plots | en_US |
| dc.title | Application of Bootstrap Re-Sampling Method to a Categorical Data of HIV/AIDS Spread across Different Social-Economic Classes | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Mathematics | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Application of Bootstrap.pdf | 831.94 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.