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dc.contributor.authorOmwenga, V.O.
dc.contributor.authorManene, M.M.
dc.contributor.authorSingh, C. B.
dc.date.accessioned2013-06-14T06:34:21Z
dc.date.available2013-06-14T06:34:21Z
dc.date.issued2011
dc.identifier.citationInternational Journal of BioChemiPhysics, Vol. 19, July 2011en
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/33497
dc.description.abstractConflict can be described as a condition in which actions of one person prevent or compel some outcome at the resistance of the other. Quite often this can be seen as "two or more competing, often incompatible, responses to same event". Model-based predictions and formulations of trends are becoming more commonly used by researchers in the field of conflicts. These models to a great extent rely on fundamental or empirical models that are frequently described by systems of differential equations. In this paper, we have developed the dynamic time varying model for estimating control variables (initial conditions) which playa significant role in the success of conflict resolution estimated using a logistic probability model. A real conflict data set, from International Peace. Institute, Oslo (pRIO), was used to test on the workability of the model.en
dc.language.isoenen
dc.subjectBayesian theory, Conflict, dynamic state, Initial conditions. Logit model, Ultimatum gameen
dc.titleModel for the estimation of initial conditions in a conflict environmenten
dc.typeArticleen
local.publisherSchool of Mathematics, University of Nairobi,en


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