Evaluation of Continuous Host-Parasitoid Models

dc.contributor.authorMwalusepo, Sizah
dc.date.accessioned2021-04-12T12:08:25Z
dc.date.available2021-04-12T12:08:25Z
dc.date.issued2010
dc.descriptionAvailable in print form, East Africana Collection, Dr. Wilbert Chagula Library, Class mark (THS EAF QL757.M852)en_US
dc.description.abstractln this dissertation the performance of continuous host-parasitoid models were investigated. The parameter values for several well-known models: Lotka-volterra, Holling Type 2. Holling Type 3, Leslie-Gower. Bazykin, Beddington-DeAngelis. Yodzis and Rosenzwing- MacArthur Models were estimated. The models were tested on 40 consecutive sets of time series data collected at 1 4 days interval for pest and parasitoid population obtained from a highland cabbage growing area in Eastern Kenya. model parameters were estimated from the minimization of the loss functions between the theoretical and experimental series datasets following the Nelder-Mead multidimensional method. Initial values of population size andparameters were randomly chosen. Durbin-Watson statistic was applied for comparison of model outputs and experimental population trajectories. Among theeight different host-parasitoid model. Holling type 3 model presented relatively betterapproximation compared to the Other models.en_US
dc.identifier.citationMwalusepo, Sizah (2010) Evaluation of Continuous Host-Parasitoid Models, Master dissertation, University of Dar es Salaamen_US
dc.identifier.urihttp://41.86.178.5:8080/xmlui/handle/123456789/15063
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectHost-parasite relationshipsen_US
dc.subjectParasitologyen_US
dc.subjectMathematical modelsen_US
dc.titleEvaluation of Continuous Host-Parasitoid Modelsen_US
dc.typeThesisen_US

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