National Academy of Agricultural Sciences (NAAS)
|
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 2018: 95.39 NAAS RATING 2020: 5.38 |
The study of probability analysis of rainfall is necessary to find the most suitable distribution model that could visualize rainfall extremities. In this present study probability distribution viz. Normal, Log-Normal, Exponential, Gumble, Generalized Extreme Value, Weibull, Generalized gamma, Log Pearson type 3, logistic distribution with two parameter and two-parameter Log-Logistic distribution for daily maximum rainfall data of 37 years for six different locations of West Bengal to find the best fit distribution model among each location by using Goodness of Fit test (χ2 test), Kolmogorov-Smirnov test (K-S test) and Anderson Darling test. The result of the sum of rank it is found that Log Pearson type 3 distribution fitted best for three geographical locations viz. Kharagpur, Bolpur and Balurghat followed by Gumble in Kolkata, Log logistic in Darjeeling and generalized extreme value in Berhampur.
Citations |
 |
 |
 |
 |
