Markov Chain Model and its Application Yearly Rainfall Data in Nagapattinam District

S Santa, Subasini T

Abstract


A stochastic model expresses a sequence of possible events in which the possible event of each event depends on the previous event and is called a Markov chain.  This paper has analyzed yearly rainfall in the Nagapattinam district and formulated three-state models. The first-order Markov chain to determine the long-term probability of rainfall in the following years and the steady-state. It can be used to make a forecast of the annual rainfall pattern. This model can give some information about rainfall to farmers and the government to plan strategies for high crop production in the Nagapattinam district

Keywords


Markov chain, Yearly Rainfall, Transition probability

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References


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DOI: http://dx.doi.org/10.23755/rm.v44i0.887

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