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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 9, Issue 1, February 2014 pp 40-47

Research Article

Statistical Analysis of Annual Maximum Rainfall Data of North-East India Based on the Methods of TL-Moment


Surobhi Deka

School of Business, Kaziranga University, Koraikhowa, NH-37, Jorhat, Assam, INDIA

Academic Editor: Dr. Dase R. K.


This paper aims to demonstrate the application of the method of Trimmed L-moment (TL-moment) to determine the best fitting distribution for annual series of maximum daily rainfall data of nine distantly located stations of North East India. For this purpose, three extreme value distributions viz. Generalized Extreme Value distribution (GEV), Generalized Logistic distribution (GLD), Generalized Pareto distribution (GPD) are considered and the parameters for each of the aforesaid distributions are estimated using the method of TL-moment. The performances of the distributions are evaluated using three goodness of fit tests namely relative root mean square error, relative mean absolute error and probability plot correlation coefficient. Finally, goodness of fit test results are compared and generalized extreme value distribution is empirically proved to be the most appropriate distribution for describing the annual maximum rainfall data for all the stations considered when the parameters are estimated by using TL-moment method.

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