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dc.contributor.authorMwita, Peter Nyamuhanga
dc.contributor.authorOtieno, Romanus Odhiambo
dc.contributor.authorMasanja, Verdiana Grace
dc.date.accessioned2018-11-20T15:40:01Z
dc.date.accessioned2020-02-06T14:01:24Z
dc.date.available2018-11-20T15:40:01Z
dc.date.available2020-02-06T14:01:24Z
dc.date.issued2011
dc.identifier.citationMwita, P. N., Otieno, R. O., Masanja, V. G., & Muyanja, C. (2011). Prediction of the likelihood of households food security in the Lake Victoria Region of Kenya. Pakistan Journal of Statistics and Operation Research, 7(2), 331-346.en_US
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/976
dc.description.abstractThis paper considers the modeling and prediction of households food security status using a sample of households in the Lake Victoria region of Kenya. A priori expected food security factors and their measurements are given. A binary logistic regression model derived was fitted to thirteen priori expected factors. Analysis of the marginal effects revealed that effecting the use of the seven significant determinants: farmland size, per capita aggregate production, household size, gender of household head, use of fertilizer, use of pesticide/herbicide and education of household head, increase the likelihood of a household being food secure. Finally, interpretations of predicted conditional probabilities, following improvement of significant determinants, are given.en_US
dc.language.isoenen_US
dc.publisherPakistan Journal of Statistics and Operation Researchen_US
dc.subjectHousehold; Food; Security; Logistic; Probability.en_US
dc.titlePrediction of the likelihood of Households Food Security in the Lake Victoria Region of Kenyaen_US
dc.typeArticleen_US


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