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- W2807034883 abstract "A study of south-west monsoon daily rainfall at Hisar was carried out for the period of 1925-2003 (79 years). In semi-arid tropics the weather conditions have a tendency to cluster together to a certain extent which means that the occurrence of rainfall on a particular day depends on the weather conditions of the previous day. This reality of meteorological persistence can be best described by Markov Chain of order one. In this paper we have obtained the probability matrices of transition from one state of occurrence to other state by Markov chain model for different categories of rainfall. The disorderliness of the transitional system of South-West monsoon rainfall by maximum likelihood estimation method and the redundancy of the discrete information source with memory has been found out. The entropy of the Markovian system has been obtained and favorableness is tested by Redundancy test. At Hisar during South-West monsoon season, the Markovian system has been found to be favorable by redundancy test." @default.
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- W2807034883 date "2018-05-10" @default.
- W2807034883 modified "2023-09-25" @default.
- W2807034883 title "Probabilistic Analysis of Monsoon Daily Rainfall at Hisar Using Information Theory and Markovian Model Approach" @default.
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- W2807034883 doi "https://doi.org/10.20546/ijcmas.2018.705.436" @default.
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