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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 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(4): 1099-1113
DOI: https://doi.org/10.20546/ijcmas.2019.804.127


Characterization of Rainfall through Probability Distributions for Yadgir District in Karnataka, India
K. Pavan Kumar1, D.K. Swain2* and T.V. Vinay3
1Iffco-Tokio Insurance Ltd.
2School of Agriculture, GIET University
3Statistics
*Corresponding author
Abstract:

Different continuous probability distribution was used to characterize the annual rainfall of Yadgir district. The best fitted distributions for the annual rainfall data are Weibull (3P), GEV, Gamma (3P) and Gumbel based on KS–test. Nearly more than 70% of annual rainfall received from south monsoon (kharif season), the best fitted probability distribution for the period of south west monsoon are Weibull (2P), GEV, Gamma (3P), and Weibull (3P) based on KS-test. Among south west monsoon period September is highest receiving rainfall month, the best fitted continuous distributions are exponential, Gamma and Weibull (2P) based on KS-test.


Keywords: Weibull (3P,2P), GEV, Gamma (3P), Gumbel, Exponential, KS–test
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How to cite this article:

Pavan Kumar, K., D.K. Swain and Vinay, T.V. 2019. Characterization of Rainfall through Probability Distributions for Yadgir District in Karnataka, India.Int.J.Curr.Microbiol.App.Sci. 8(4): 1099-1113. doi: https://doi.org/10.20546/ijcmas.2019.804.127