EXTENDING GENSTAT CAPABILITY TO ANALYZE RAINFALL DATA USING MARKOV CHAIN MODEL

Authors

  • Jacob OtienoOng’ala Center for Applied Research in Mathematical Sciences, Strathmore University, Nairobi
  • David Ster Department of Mathematics and Applied Statistics Maseno University, Kisumu
  • Roger Stern Statistical Services, Center, University of Reading, United kingdom

DOI:

https://doi.org/10.19044/esj.2012.v8n18p%25p

Abstract

Rainfall is of critical importance for many people particularly those whose livelihoods are dependent on rain fed agriculture. Methods of analysis of daily rainfall records based on Markov chain models have been available for many years and their value is widely recognized. However they are rarely used because of the complexity of their analysis. This paper describes how these models are being made more accessible through a series of specially written procedures and menus in GenStat, a widely available statistics package.

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Published

2012-08-29

How to Cite

OtienoOng’ala, J., Ster, D., & Stern, R. (2012). EXTENDING GENSTAT CAPABILITY TO ANALYZE RAINFALL DATA USING MARKOV CHAIN MODEL. European Scientific Journal, ESJ, 8(18). https://doi.org/10.19044/esj.2012.v8n18p%p

Issue

Vol. 8 No. 18 (2012): ESJ August Edition

Section

Articles

License

This work is licensed under a Creative Commons Attribution 4.0 International License.