Non-central F Distribution

The non-central F distribution, also known as the doubly non-central F distribution, is a generalization of the F distribution. It is used to model the quotient of two non-central chi-square variables.

Definition

The non-central F distribution has degrees of freedom parameters ν1, ν2, and non-centrality parameter λ. The probability density function (PDF) is:

f(x)=eλ/2r=0(λ/2)rr!Γ(ν1+ν2+2r2)Γ(ν22)Γ(ν1+2r2)(ν1xν2)(ν1+2r2)/2(1+ν1xν2)(ν1+ν2+2r)/2

where ν1,ν2>0 and λ0.

Applications

  • Analysis of variance (ANOVA) uses it for power calculations.

  • Regression analysis employs it in testing linear hypotheses.

  • Quality control uses it in process capability studies.

Properties

Statistical Properties
PropertyValue (ν2>k where k is the moment order)
Meanν2(ν1+λ)ν1(ν22)
Variance 2ν22[(ν1+λ)2+(ν1+2λ)(ν22)]ν12(ν22)2(ν24)
ModeNo closed form

Notable properties include:

  • The distribution is defined for positive real numbers.

  • Higher moments exist only when ν2 is sufficiently large.

  • The distribution is always right-skewed.

Relationships to Other Distributions

The NonCentralFDistribution class

The non-central F distribution is implemented by the NonCentralFDistribution class. It has one constructor which takes the three parameters mentioned above as arguments. The following constructs a non-central F distribution with 4 degrees of freedom for the numerator, and 25 degrees of freedom for the denominator, and non-centrality parameter 15:

C#
var ncf = new NonCentralFDistribution(4, 25, 15.0);

The NonCentralFDistribution class has three specific properties. NumeratorDegreesOfFreedom and DenominatorDegreesOfFreedom return the degrees of freedom of the numerator and the denominator, respectively. The NonCentralityParameter property returns the non-centrality parameter.

References

  • Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995). Continuous Univariate Distributions, Volume 2. Wiley.

  • Hogg, R. V., McKean, J. W., & Craig, A. T. (2019). Introduction to Mathematical Statistics. Pearson.

See Also