G01FEF (PDF version)
G01 Chapter Contents
G01 Chapter Introduction
NAG Library Manual

NAG Library Routine Document


Note:  before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.


    1  Purpose
    7  Accuracy

1  Purpose

G01FEF returns the deviate associated with the given lower tail probability of the beta distribution, via the routine name.

2  Specification

REAL (KIND=nag_wp) G01FEF
REAL (KIND=nag_wp)  P, A, B, TOL

3  Description

The deviate, βp, associated with the lower tail probability, p, of the beta distribution with parameters a and b is defined as the solution to
PBβp:a,b=p=Γa+b ΓaΓb 0βpBa-11-Bb-1dB,  0βp1;a,b>0.  
The algorithm is a modified version of the Newton–Raphson method, following closely that of Cran et al. (1977).
An initial approximation, β0, to βp is found (see Cran et al. (1977)), and the Newton–Raphson iteration
βi=βi-1-fβi-1 fβi-1 ,  
where fβ=PBβ:a,b-p is used, with modifications to ensure that β remains in the range 0,1.

4  References

Cran G W, Martin K J and Thomas G E (1977) Algorithm AS 109. Inverse of the incomplete beta function ratio Appl. Statist. 26 111–114
Hastings N A J and Peacock J B (1975) Statistical Distributions Butterworth

5  Parameters

1:     P – REAL (KIND=nag_wp)Input
On entry: p, the lower tail probability from the required beta distribution.
Constraint: 0.0P1.0.
2:     A – REAL (KIND=nag_wp)Input
On entry: a, the first parameter of the required beta distribution.
Constraint: 0.0<A106.
3:     B – REAL (KIND=nag_wp)Input
On entry: b, the second parameter of the required beta distribution.
Constraint: 0.0<B106.
4:     TOL – REAL (KIND=nag_wp)Input
On entry: the relative accuracy required by you in the result. If G01FEF is entered with TOL greater than or equal to 1.0 or less than 10×machine precision (see X02AJF), then the value of 10×machine precision is used instead.
5:     IFAIL – INTEGERInput/Output
On entry: IFAIL must be set to 0, -1​ or ​1. If you are unfamiliar with this parameter you should refer to Section 3.3 in the Essential Introduction for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1​ or ​1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, because for this routine the values of the output parameters may be useful even if IFAIL0 on exit, the recommended value is -1. When the value -1​ or ​1 is used it is essential to test the value of IFAIL on exit.
On exit: IFAIL=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6  Error Indicators and Warnings

If on entry IFAIL=0 or -1, explanatory error messages are output on the current error message unit (as defined by X04AAF).
Note: G01FEF may return useful information for one or more of the following detected errors or warnings.
Errors or warnings detected by the routine:
If on exit IFAIL=1 or 2, then G01FEF returns 0.0.
On entry,P<0.0,
On entry,A0.0,
There is doubt concerning the accuracy of the computed result. 100 iterations of the Newton–Raphson method have been performed without satisfying the accuracy criterion (see Section 7). The result should be a reasonable approximation of the solution.
Requested accuracy not achieved when calculating beta probability. The result should be a reasonable approximation to the correct solution. You should try setting TOL larger.
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 3.8 in the Essential Introduction for further information.
Your licence key may have expired or may not have been installed correctly.
See Section 3.7 in the Essential Introduction for further information.
Dynamic memory allocation failed.
See Section 3.6 in the Essential Introduction for further information.

7  Accuracy

The required precision, given by TOL, should be achieved in most circumstances.

8  Parallelism and Performance

Not applicable.

9  Further Comments

The typical timing will be several times that of G01EEF and will be very dependent on the input parameter values. See G01EEF for further comments on timings.

10  Example

This example reads lower tail probabilities for several beta distributions and calculates and prints the corresponding deviates until the end of data is reached.

10.1  Program Text

Program Text (g01fefe.f90)

10.2  Program Data

Program Data (g01fefe.d)

10.3  Program Results

Program Results (g01fefe.r)

G01FEF (PDF version)
G01 Chapter Contents
G01 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2015