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dc.contributor.authorOng'ala, Jacob Otieno
dc.date.accessioned2012-08-24T11:21:43Z
dc.date.available2012-08-24T11:21:43Z
dc.date.issued2012
dc.identifier.citationQA274.7.O54 2011en_US
dc.identifier.urihttp://hdl.handle.net/11071/1777
dc.description.abstractDespite the rapid development of statistical packages, a lot of climatic data still remain unanalyzed due to lack of specialized routines in most of the packages. One package has a climatic menu though with limitation on complex analysis such as generalized linear models. Others can perform the Generalized Linear Model analysis but do not have a specialized menu for analyzing climatic data. There is no statistical package currently available which has a specialized capability to do climatic analysis easily and includes the use of generalized linear models. This study starts the work of creating a specialized menu in GenStat for analyzing climatic data by implementing Markov modeling of rainfall data. Four procedures have been written and corresponding dialogues were created to ease their use. Incorporating a climatic menu into GenStat package will support researchers in agricultural and many other fields that need an analysis of climatic data as part of their work.en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectMarkov analysis.en_US
dc.titleSimplifying the Markov chain analysis of rainfall data using gensaten_US
dc.typeThesisen_US


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  • SU Staff Theses & Dissertations [32]
    Projects, Theses and Dissertations written by University Staff (studying outside of Strathmore University) in fulfillment of course requirements

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