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Library / Probability distributions / PRD-39

Probability distributions

Gumbel maxima: density

Probability density of a block maximum under a Gumbel model.

Ref
PRD-39
Rev
v1
Field
Probability distributions
Result
f [s/m]

The Gumbel density e^(−z − e^(−z))/s is skewed to the right: it rises steeply to a peak at the location m and falls away slowly on the high side. The density has units of 1/x. For extreme arguments use a logarithmic form to avoid underflow.

Probability density of a block maximum under a Gumbel model. It is skewed to the right, with a longer upper tail.

Calculator

Solve for
s/m
m/s
040
m/s
0.510
m/s
550
  • Peak density, 1/(se)0.1226 s/m
  • Mode (equal to m)20 m/s
  • Mean, m + 0.5772 s21.73 m/s

What drives the result

Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.

Probability density (s/m) current value 0.08488 s/m
xThreshold xKey driver
1.74e-630.123
mLocation m
2.77e-1240.122
sScale s
0.004950.0897
  • At 23 m/s the density is 0.08488, compared with a peak of 0.1226 at the location of 20 m/s.
  • The mean sits above the peak, because the long upper tail pulls the average up.
Chart data as tables

Ranked variables

VariableTypical rangeLowest resultHighest resultSwing (s/m)Local stepChange in result
x Threshold x5 to 50 m/s1.735e-630.12260.1226+10%−43.4 %
m Location m0 to 40 m/s2.771e-1240.12190.1219+10%+37.4 %
s Scale s0.5 to 10 m/s0.0049450.089730.08479+10%−3.86 %

Sweep of Threshold x

Threshold x (m/s)Probability density (s/m)
51.735e-63
10.639.898e-10
16.250.03547
21.880.1045
27.50.02521
33.130.004144
38.756.422e-4
44.389.865e-5
501.513e-5

Sweep one variable

Probability density (s/m)Hover, touch, or use the arrow keys on the chart
00.020.040.060.080.10.12 1020304050 Threshold x (m/s) now 0.08488

Variables and how each one contributes

f

Probability density

Result · s/m

What the equation gives you. Everything else feeds it.

m

Location m

m/s · typical 0 to 40

The location, in m/s: the mode, the most likely block maximum. Shifts the whole distribution. Raising it by 10 % (to 22) moves the result by +37.4 %, from 0.08488 to 0.1167 s/m.

s

Scale s

m/s · typical 0.5 to 10

The scale, in m/s: it sets the spread of the block maxima. Widens the distribution and lengthens the upper tail. Raising it by 10 % (to 3.3) moves the result by −3.86 %, from 0.08488 to 0.0816 s/m.

x

Threshold x

m/s · typical 5 to 50

The threshold, in m/s, at which the result is read. Moves the point at which the density or probability is read. Raising it by 10 % (to 25.3) moves the result by −43.4 %, from 0.08488 to 0.04802 s/m.

Worked example with the values above

  1. Standardised value: z = 1.
  2. Exponent: −z − e^(−z) = −1.3679.
  3. f = e^(that) / s = 0.084882 per m/s.

Assumptions and limits

  • Each value is the maximum of many roughly independent observations in a block of equal length, such as a year.
  • The location and scale come from a fit to block maxima of the same kind.

Common mistakes

  • Mixing blocks of different lengths in one fit.
  • Treating the probability as a return period: a non-exceedance probability F corresponds to a return period of 1/(1 − F) blocks.
  • Extrapolating far beyond the data, where the choice of tail model dominates.

Statistics and uncertainty

The inputs are parameters, usually fitted to data, and their estimation error carries into the result. The probability or density is a smooth function of the parameters, so the sweep chart shows how sensitive it is: where the curve is steep, a small error in a parameter makes a large difference. The formula treats the parameters as exact, so it gives no confidence interval on its own.

Where it is used

  • Design wind speeds, flood levels and wave heights from annual maxima.
  • Maximum loads and extreme temperatures in structural and thermal design.

Maths you need

  • Exponential function: e raised to a power
  • Return period: average time between exceedances

Related formulas

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