Rayleigh Distribution for Quantile-Quantile Plots
The Rayleigh distribution has the probability density function:
f(x) = (x-q)/b2 * e ^ -[(x-q)2 /2b2]
q <= x < ∞, b > 0
where
b | is the Scale parameter |
q | is the Threshold (location) parameter |
e | is the base of the natural logarithm, sometimes called Euler's e (2.71...) |
- The inverse distribution function (of probability a) is (for q=0): {-2b2[log(1-a)]}1/2
- The standardized Rayleigh distribution function is used to determine the best fitting distribution.
In general, if the points in the Q-Q plot form a straight line, then the respective family of distributions (Rayleigh distribution) provides a good fit to the data; in that case, the intercept and slope of the fitted line can be interpreted as graphical estimates of threshold (q) and scale (b) parameters, respectively.
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