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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(5): 3762-3767
DOI: https://doi.org/10.20546/ijcmas.2018.705.436


Probabilistic Analysis of Monsoon Daily Rainfall at Hisar Using Information Theory and Markovian Model Approach
Gurjeet Kaur1*, Safeer Alam2 and Jasvinder Kaur3
1MGCGVV, Chitrakoot, Satna, M.P., India
2Directorate of Extension, SKUAST-Kashmir, Shalimar, Srinagar, J&K, India
3Extension Education Institute, Nilokheri, CCSHAU, Hisar, India
*Corresponding author
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.


Keywords: Markov chain, Maximum likelihood principle, Measure of entropy, Redundancy test, Redundancy, Shannon’s information theory, Transitional probabilities
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How to cite this article:

Gurjeet Kaur, Safeer Alam and Jasvinder Kaur. 2018. Probabilistic Analysis of Monsoon Daily Rainfall at Hisar Using Information Theory and Markovian Model Approach.Int.J.Curr.Microbiol.App.Sci. 7(5): 3762-3767. doi: https://doi.org/10.20546/ijcmas.2018.705.436