Application of Bootstrap Re-Sampling Method to Categorical Data of HIV/AIDS Spread across different Socio-Economical Classes

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DC Field	Value	Language
dc.contributor.author	Bello, Adeshina Oyedele	-
dc.date.accessioned	2021-07-06T15:50:33Z	-
dc.date.available	2021-07-06T15:50:33Z	-
dc.date.issued	2015-06	-
dc.identifier.citation	4	en_US
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6827	-
dc.description.abstract	This research reports on the relationship and significance of social-economic factors (age, sex, employment status) and modes of HIV/AIDS transmission to the HIV/AIDS spread. Logistic regression model, a form of probabilistic function for the 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-sampling observations.	en_US
dc.description.sponsorship	Self Sponsor	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Statistics and Applications	en_US
dc.relation.ispartofseries	10.5923/j.statistics.20150504.04;pp. 157-168	-
dc.relation.ispartofseries	arXiv:1609.07806 [stat.AP];	-
dc.subject	HIV, Categorical data	en_US
dc.subject	Large-Sample Inference,	en_US
dc.subject	logistic regression and probability plots	en_US
dc.subject	Multiple Split Sample Procedure	en_US
dc.subject	R-Codes	en_US
dc.title	Application of Bootstrap Re-Sampling Method to Categorical Data of HIV/AIDS Spread across different Socio-Economical Classes	en_US
dc.type	Article	en_US
Appears in Collections:	Statistics

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