nag_prob_chi_sq (g01ecc) (PDF version)
g01 Chapter Contents
g01 Chapter Introduction
NAG Library Manual

NAG Library Function Document

nag_prob_chi_sq (g01ecc)

+ Contents

    1  Purpose
    7  Accuracy

1  Purpose

nag_prob_chi_sq (g01ecc) returns the lower or upper tail probability for the χ2-distribution with real degrees of freedom.

2  Specification

#include <nag.h>
#include <nagg01.h>
double  nag_prob_chi_sq (Nag_TailProbability tail, double x, double df, NagError *fail)

3  Description

The lower tail probability for the χ2-distribution with ν degrees of freedom, PXx:ν is defined by:
PXx:ν=12ν/2Γν/2 0.0xXν/2-1e-X/2dX,  x0,ν>0.
To calculate PXx:ν a transformation of a gamma distribution is employed, i.e., a χ2-distribution with ν degrees of freedom is equal to a gamma distribution with scale parameter 2 and shape parameter ν/2.

4  References

Abramowitz M and Stegun I A (1972) Handbook of Mathematical Functions (3rd Edition) Dover Publications
Hastings N A J and Peacock J B (1975) Statistical Distributions Butterworth

5  Arguments

1:     tailNag_TailProbabilityInput
On entry: indicates whether the upper or lower tail probability is required.
The lower tail probability is returned, i.e., PXx:ν.
The upper tail probability is returned, i.e., PXx:ν.
Constraint: tail=Nag_LowerTail or Nag_UpperTail.
2:     xdoubleInput
On entry: x, the value of the χ2 variate with ν degrees of freedom.
Constraint: x0.0.
3:     dfdoubleInput
On entry: ν, the degrees of freedom of the χ2-distribution.
Constraint: df>0.0.
4:     failNagError *Input/Output
The NAG error argument (see Section 3.6 in the Essential Introduction).

6  Error Indicators and Warnings

The series used to calculate the gamma probabilities has failed to converge. The result returned should represent an approximation to the solution.
On entry, argument value had an illegal value.
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
On entry, df=value.
Constraint: df>0.0.
On entry, x=value.
Constraint: x0.0.

7  Accuracy

A relative accuracy of five significant figures is obtained in most cases.

8  Parallelism and Performance

Not applicable.

9  Further Comments

For higher accuracy the transformation described in Section 3 may be used with a direct call to nag_incomplete_gamma (s14bac).

10  Example

Values from various χ2-distributions are read, the lower tail probabilities calculated, and all these values printed out, until the end of data is reached.

10.1  Program Text

Program Text (g01ecce.c)

10.2  Program Data

Program Data (g01ecce.d)

10.3  Program Results

Program Results (g01ecce.r)

nag_prob_chi_sq (g01ecc) (PDF version)
g01 Chapter Contents
g01 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014