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GUIDE WAVE ANALYSIS AND FORECASTING - WMO

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The following distributions are briefly described in the order shown (see Johnson and Kotz, 1970, inter alia, for<br />

further details):<br />

• Normal or Gaussian<br />

• Log-normal<br />

• Gamma<br />

• Weibull<br />

• Exponential<br />

• Rayleigh<br />

• Generalized extreme value (GEV)<br />

• Fisher-Tippett Type I or Gumbel<br />

• Fisher-Tippett Type III<br />

• Generalized Pareto<br />

The symbols – x and s are used for the mean and standard deviation of the series x i (i = 1, n), i.e.:<br />

x<br />

where Σ indicates summation over i (i = 1, n).<br />

The symbol Γ has its usual meaning as the gamma function:<br />

Values are widely tabulated.<br />

1. Normal or Gaussian distribution<br />

Probability paper<br />

Moments estimators<br />

α˜<br />

= x<br />

˜ β = s<br />

s<br />

2<br />

x<br />

=<br />

n<br />

∑<br />

x x<br />

=<br />

n<br />

∑(<br />

i – )<br />

– 1<br />

∞ z– 1 – t<br />

dΓ<br />

Γ() z = ∫ t e dt;<br />

Γ′<br />

() z =<br />

t = 0<br />

dz<br />

f (x) =<br />

1<br />

2π β<br />

mean = α<br />

variance = β 2<br />

x =Φ –1 ⎡<br />

( p) ⎢Φ(x)=<br />

∫<br />

⎣⎢<br />

y = (h)<br />

Maximum likelihood estimators<br />

αˆ<br />

= x<br />

ˆ ( – )<br />

β = ∑ xix n<br />

i<br />

2<br />

2<br />

⎡<br />

⎣<br />

(x – α )2<br />

exp –<br />

2β 2 ⎢<br />

x<br />

–∞<br />

1<br />

2π<br />

ANNEX III<br />

PROBABILITY DISTRIBUTIONS FOR <strong>WAVE</strong> HEIGHTS<br />

⎤<br />

⎥ – ∞

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