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dc.contributor.authorOmwonylee, J. O.
dc.contributor.authorDiongue, A. K. A.
dc.contributor.authorOdongo, L. O.
dc.date.accessioned2015-07-28T07:37:20Z
dc.date.available2015-07-28T07:37:20Z
dc.date.issued2014
dc.identifier.citationInternational Journal of Science and Research (IJSR) Vol.3, No. 5; 2014en_US
dc.identifier.issn2319-7064
dc.identifier.uriwww.ijsr.net/archive/v3i5/MDIwMTMxODE5.pdf
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/13216
dc.descriptionResearch Articlesen_US
dc.description.abstractIn this paper the time that the Internally Displaced Persons (IDPs) took to return from IDPs Camps to their ancestral homes in Northern Uganda was modeled using parametric methods. A retrospective dataset was collected from a cohort of 590 households belonging to seven different villages from Otuke districts that were displaced by Lord Resistance Army (LRA) war and were used in the study for a period of seven years. The raw dataset shows a total of 66 households that have not yet return to their ancestral homes. Stata inbuilt program and Easyfit 5.5 professional software were used to test the distribution (Exponential, Weibull and Log-logistic) fitness for the retrospective IDP dataset. The three distributions fit statistic of Kolmogorov-Smirnov, Chi-Squared and Anderson-Darling were used to test for the distribution fit. The Weibull distribution model was found to have a superior fit for the data than both exponential and log-logistic distribution model since it had a wider acceptance region from the test statistics. The study however recommended the widening of the scope for data collection in future studies for better statistical inference.en_US
dc.language.isoenen_US
dc.publisherIJSRen_US
dc.subjectSurvival techniquesen_US
dc.subjectParametric methodsen_US
dc.subjectRetrospective dataen_US
dc.subjectInternally Displaced Persons’en_US
dc.subjectLord Resistance Army (LRA)en_US
dc.titleModelling Internally Displaced Persons’ (IDPs) Time to Resuming their Ancestral Homes after IDPs’ Camps in Northern Uganda Using Parametric Methodsen_US
dc.typeArticleen_US


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