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Noncentral F Distribution Percent Point

Find the percent point (quantile) F value of the noncentral F distribution from probability p, degrees of freedom d1 and d2, and noncentrality lambda. Supports lower and upper methods with PDF and CDF charts.

Input

Find the percent point (quantile) F value of the noncentral F distribution that corresponds to a given probability p, useful for power analysis and related tasks.

A value greater than 0 and less than 1, for example 0.95

Method

Whether p is treated as the lower or the upper probability

Degrees of freedom of the numerator (positive)

Degrees of freedom of the denominator (positive)

A value of 0 or greater. When 0 it reduces to the ordinary F distribution

Result

Percent point for p=0.95, d1=5, d2=10, lambda=4

5.7575128

Numerator df d1

5

Denominator df d2

10

Noncentrality lambda

4

Input probability p

0.95

Lower probability

0.95

Upper probability

0.05

Density PDF

0.02444541

Mean

2.25

Variance

3.85416667

Probability density function PDF

Cumulative distribution function CDF

How it works

  • The cumulative distribution function of the noncentral F distribution is a Poisson weighted mixture of central F distributions. The weights follow a Poisson distribution with mean equal to half of the noncentrality lambda, and each term is evaluated with the regularized incomplete beta function.
  • The F value satisfying the given probability p is found by bisection because the cumulative distribution function increases monotonically. The lower method returns the F value whose lower probability equals p, while the upper method returns the one whose upper probability equals p.
  • The mean is d2(d1+lambda)/(d1(d2-2)) when the denominator degrees of freedom exceed 2, and the variance is defined only when the denominator degrees of freedom exceed 4.
  • When the noncentrality lambda is 0, the result matches the percent point of the ordinary central F distribution.

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