dc.contributor.author |
Al Kuwaiti, Ahmed |
|
dc.contributor.author |
Raman, Vinoth |
|
dc.contributor.author |
Subbarayalu, Arun Vijay |
|
dc.contributor.author |
Prabaharan, Sivasankar |
|
dc.contributor.author |
Palanivel, R. M. |
|
dc.contributor.author |
Anumolu, Goparaju |
|
dc.date.accessioned |
2018-08-01T05:37:24Z |
|
dc.date.available |
2018-08-01T05:37:24Z |
|
dc.date.issued |
2018-05 |
|
dc.identifier.issn |
2384-4795 |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/2050 |
|
dc.description.abstract |
Very few researches have been done jointly with Human immunodeficiency virus (HIV) and Tuberculosis (TB). Through this study, an attempt has been made here using statistical model to calculate the verge point of a patient, who has been infected by HIV and TB. Many researches with different family of distribution had been studied earlier. Once the patient is infected, the threshold level counts down which will be observed in the model, to suggest the goodness of fit. Through numerical values, it is interpreted as when the infection period increases the survival time of the patient decreases as when the infection period increases. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Expected time |
|
dc.subject |
HIV |
|
dc.subject |
Patient |
|
dc.subject |
TB |
|
dc.subject |
Threshold |
|
dc.subject |
Survival |
|
dc.subject |
Generalized Rayleigh Distribution |
|
dc.title |
Computing the Infection Period of HIV and TB Patient through Non-Deterministic Model |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCTS/050102 |
|
dc.volume |
05 |
|
dc.issue |
01 |
|
dc.pagestart |
15 |
|
dc.pageend |
18 |
|
dc.source.title |
International Journal of Computational and Theoretical Statistics |
|
dc.abbreviatedsourcetitle |
IJCTS |
|