Non-central Student t distribution

The non-central t distribution, also known as the non-central Student's t distribution, is a generalization of Student's t distribution that includes a non-centrality parameter.

Definition

The non-central t distribution has degrees of freedom ν and non-centrality parameter λ. The probability density function (PDF) is:

f(x;ν,λ)=νν/2eνλ2/2(λ2+ν)B(ν/2,1/2)π(λ2+ν)(1+x2ν)(ν+1)/2M(ν+1)/21/2(λ2x2ν(λ2+ν))

where Mpq(z) is the Whittaker M function and B(a,b) is the beta function.

Applications

  • Statistical power analysis uses it for t-tests.

  • Confidence interval calculations employ it when the population mean is non-zero.

  • Quality control uses it in process monitoring with small samples.

Properties

Statistical Properties
PropertyValue
Meanλν2Γ(ν12)Γ(ν2),ν>1
Varianceν(1+λ2)ν2λ2ν(Γ(ν12)2Γ(ν2))2,ν>2
ModeNo closed form

Notable properties include:

  • The distribution is symmetric about λ when ν.

  • Higher moments involve complex hypergeometric functions.

  • The distribution has heavier tails than the normal distribution.

Relationships to Other Distributions

The NonCentralStudentTDistribution class

The non-central t distribution is implemented by the NonCentralStudentTDistribution class. It has one constructor with the degrees of freedom as its only argument.

The following constructs a non-central student t distribution with 8 degrees of freedom and non-centrality parameter 12:

C#
var ncStudentT = new NonCentralStudentTDistribution(8, 12.0);

The NonCentralStudentTDistribution class has two specific properties. DegreesOfFreedom returns the degrees of freedom of the distribution. NonCentralityParameter returns the non-centrality parameter.

References

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

  • Abramowitz, M., & Stegun, I. A. (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. National Bureau of Standards.

See Also