Active Monsoon and Daily Rainfall in the Hill Sub Region of West Bengal – An Information Theory Approach
Journal Title: International Journal of Agricultural Science and Research (IJASR) - Year 2017, Vol 7, Issue 4
Abstract
The probabilities of occurrence of dry and wet days is one of the best tools for fitting a Markov chain model, geometric and Markovian geometric spell distribution. But, the studies of uncertainty about the nature of day’s rainfall are rarely available. Every probability distribution has some uncertainty associated with it. The concept of Information theory approach (entropy) is introduced here to provide a quantitative measure of this uncertainty, and to test the stochastic Markovian dependence. Present study reveals that redundancy values (R) in Hill sub region of West Bengal i.e., Darjeeling, during monsoon months are ranging from 0.116 to 0.536, these values are indicating that Markovian system tends to minimum favorable conditions i.e., almost uncertain to follow Markovian dependence. But, likelihood ratio test is the most powerful test to check the Markovain dependence. Using likelihood ratio test, Mmarkovain dependence is best fitted during the study period, except in September.
Authors and Affiliations
Sathish G, Banjul Bhattacharyya
Keywords
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