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
where
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
Property | Value |
---|---|
Mean | |
Variance | |
Mode | No closed form |
Notable properties include:
The distribution is symmetric about
when .Higher moments involve complex hypergeometric functions.
The distribution has heavier tails than the normal distribution.
Relationships to Other Distributions
When
, it reduces to Student's t distribution.As
, it approaches a normal distribution with mean and unit variance.It is related to the non-central F distribution through a quadratic transformation.
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:
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.