Markov Chain Model and its Application Yearly Rainfall Data in Nagapattinam District
S Santa, T Subasini · Ratio mathematica · 2022
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