Estimation of extreme rainfall for a desired return period is a prerequisite for planning, design and operation of various
hydraulic structures, such as dams, bridges, barrages, and storm water drainage systems. Depending on the size and
the design-life of the structure, the estimated extreme rainfall corresponding to particular return period is used. This can
be computed through Extreme Value Analysis (EVA) of rainfall by fitting probability distributions to the recorded values of
annual 1-day maximum rainfall. This paper illustrates the adoption of Extreme Value Type-1, Extreme Value Type-2, 2-
parameter Log Normal and Log Pearson Type-3 (LP3) probability distributions in EVA of rainfall for Hissar and Tohana.
Based on the applicability, standard parameter estimation procedures, viz., Method of Moments (MoM), Maximum
Likelihood Method (MLM), and Order Statistics Approach are used for determination of parameters of distributions. The
adequacy on the fitting of probability distributions used in EVA of rainfall is evaluated by applying Goodness-of-Fit (GoF)
tests, viz., Anderson-Darling and Kolmogorov-Smirnov. In addition to GoF tests, D-index is employed to evaluate the best
suitable probability distribution for estimation of extreme rainfall. The study suggests the LP3 (using MLM) is better suited
amongst four probability distributions adopted in EVA for estimation of extreme rainfall for Hissar and Tohana.