Surjunctive group

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The Cornish–Fisher expansion is a mathematical expression used to approximate the quantiles of a random variable based only on its first few cumulants.[1][2][3]

Definition

Let x be a random variable with a density function f(x) with a mean of zero and a variance of 1. Let β1 be the skewness of this distribution and let β2 be its kurtosis. Let z be a normally distributed random variable and let zα be the value of z at the αth percentile.

As an illustration of this last definition when α = 0.95, zα = 1.96

Then

ωα=zα+16(zα21)β1+124(zα33zα)(β23)136(2zα35zα)β12124(zα45zα2+2)β1(β23)

where ωα is the corresponding value for f(x).

References

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  1. Cornish EA and Fisher RA (1938) Moments and cumulants in the specification of distributions. Revue de l’Institut Internat. de Statistique. 5: 307–322
  2. Fisher RA and Cornish EA (1960) The percentile points of distributions having known cumulants. Technometrics 2: 209–225
  3. Abramowitz M and Stegun I (1965) Handbook of mathematical functions, with formulas, graphs and mathematical tables. Dover Publications, New York