Theoretical and Applied Climatology

, Volume 104, Issue 1, pp 111–122

Statistical analysis of annual maximum rainfall in North-East India: an application of LH-moments


    • Department of Mathematical SciencesTezpur University
  • Munindra Borah
    • Department of Mathematical SciencesTezpur University
  • Sarat Chandra Kakaty
    • Department of StatisticsDibrugarh University
Original Paper

DOI: 10.1007/s00704-010-0330-7

Cite this article as:
Deka, S., Borah, M. & Kakaty, S.C. Theor Appl Climatol (2011) 104: 111. doi:10.1007/s00704-010-0330-7


An attempt has been made to determine the best fitting distribution to describe the annual series of maximum daily rainfall data for the period 1966 to 2007 of nine distantly located stations in North East India. The LH-moments of order zero (L) to order four (L4) are used to estimate the parameters of three extreme value distributions viz. generalized extreme value distribution (GEV), generalized logistic distribution (GLD), and generalized Pareto distribution (GPD). The performances of the distributions are assessed by evaluating the relative bias (RBIAS) and relative root mean square error (RRMSE) of quantile estimates through Monte Carlo simulations. Then, the boxplot is used to show the location of the median and the associated dispersion of the data. Finally, it can be revealed from the results of boxplots that zero level of LH-moments of the generalized Pareto distribution would be appropriate to the majority of the stations for describing the annual maximum rainfall series in North East India.

Copyright information

© Springer-Verlag 2010