Design wave parameters are predicted using probability distributions and statistical methods.Future values are estimated from collected preceding sequence of values. In this paper significant wave height (SWH) data are used to analyze and predict extreme wave events that can affect coastal based life and impact marine industries. Two locations are chosen at the Bay of Bengal (BOB) region for extreme height estimation for the period 1958-2001. In this study, Generalized Pareto distribution (GPD), Generalized extreme value distribution (GEV) and Weibull distribution have been applied to approximate design wave parameters and examine extreme wave elevations for specified return periods. For the two sites at BOB and three probability distributions the expressions for the extreme value of wave height for given return periods, mean maximal wave height and most occurring wave heights have been formulated and then compare

Keywords: Design Wave Parameters, Return Period, Extreme Wave Heights, Probability Distributions, Bay of Bengal.
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