Simplifying the markov chain analysis of rainfall Data using genstat
dc.contributor.author | ONG' ALA, Jacob Otieno | |
dc.date.accessioned | 2022-04-25T12:37:06Z | |
dc.date.available | 2022-04-25T12:37:06Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/5196 | |
dc.description.abstract | Despite 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.publisher | Maseno university | en_US |
dc.title | Simplifying the markov chain analysis of rainfall Data using genstat | en_US |
dc.type | Thesis | en_US |