dc.contributor.author | Weke, Patrick | |
dc.contributor.author | Owino, John | |
dc.contributor.author | Musiga, Lydia | |
dc.date.accessioned | 2013-06-13T06:33:21Z | |
dc.date.available | 2013-06-13T06:33:21Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Kenya Journal of Sciences Series A Vol. 15 No.1, 2012 | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/32633 | |
dc.description.abstract | This paper describes a Markov Chain transition model for predicting expected numbers of
dropouts from various levels of the system. The levels of dropout include graduation after successful
completion of all the courses offered, dropping out as a result of discontinuation and dropping out
after performing well in grades prior to the final grade. Hence, a Markov Chain model with Multiple
Absorbing States. The theory of Absorbing Markov Chains is used due to its adaptability to the
representation of absorbing rates, transition rates and dropout rates for both successful and
unsuccessful students, from an education system. | en |
dc.language.iso | en | en |
dc.subject | Hierarchical System, Multiple Absorbing States, Absorbing Markov Chain, Permanent States, Transition Rates, Dropout Rates | en |
dc.title | Modeling a Hierarchical System with Multiple Absorbing States | en |
dc.type | Article | en |
local.publisher | Department of Mathematics, University of Nairobi | en |