# include # include # include # include "asa147.h" /******************************************************************************/ void gamma_inc_p_values ( int *n_data, double *a, double *x, double *fx ) /******************************************************************************/ /* Purpose: gamma_inc_p_values(): values of the normalized incomplete Gamma function P(A,X). Discussion: The (normalized) incomplete Gamma function is defined as: P(A,X) = 1/Gamma(A) * Integral ( 0 <= T <= X ) T^(A-1) * exp(-T) dT. With this definition, for all A and X, 0 <= P(A,X) <= 1 and P(A,oo) = 1.0 In Mathematica, the function can be evaluated by: 1 - GammaRegularized[A,X] Licensing: This code is distributed under the MIT license. Modified: 11 April 2010 Author: John Burkardt Reference: Milton Abramowitz, Irene Stegun, Handbook of Mathematical Functions, National Bureau of Standards, 1964, ISBN: 0-486-61272-4, LC: QA47.A34. Stephen Wolfram, The Mathematica Book, Fourth Edition, Cambridge University Press, 1999, ISBN: 0-521-64314-7, LC: QA76.95.W65. Input: int *N_DATA. The user sets N_DATA to 0 before the first call. Output: int *N_DATA. The routine increments N_DATA by 1, and returns the corresponding data; when there is no more data, the output value of N_DATA will be 0 again. double *A, the parameter of the function. double *X, the argument of the function. double *FX, the value of the function. */ { # define N_MAX 20 static double a_vec[N_MAX] = { 0.10E+00, 0.10E+00, 0.10E+00, 0.50E+00, 0.50E+00, 0.50E+00, 0.10E+01, 0.10E+01, 0.10E+01, 0.11E+01, 0.11E+01, 0.11E+01, 0.20E+01, 0.20E+01, 0.20E+01, 0.60E+01, 0.60E+01, 0.11E+02, 0.26E+02, 0.41E+02 }; static double fx_vec[N_MAX] = { 0.7382350532339351E+00, 0.9083579897300343E+00, 0.9886559833621947E+00, 0.3014646416966613E+00, 0.7793286380801532E+00, 0.9918490284064973E+00, 0.9516258196404043E-01, 0.6321205588285577E+00, 0.9932620530009145E+00, 0.7205974576054322E-01, 0.5891809618706485E+00, 0.9915368159845525E+00, 0.1018582711118352E-01, 0.4421745996289254E+00, 0.9927049442755639E+00, 0.4202103819530612E-01, 0.9796589705830716E+00, 0.9226039842296429E+00, 0.4470785799755852E+00, 0.7444549220718699E+00 }; static double x_vec[N_MAX] = { 0.30E-01, 0.30E+00, 0.15E+01, 0.75E-01, 0.75E+00, 0.35E+01, 0.10E+00, 0.10E+01, 0.50E+01, 0.10E+00, 0.10E+01, 0.50E+01, 0.15E+00, 0.15E+01, 0.70E+01, 0.25E+01, 0.12E+02, 0.16E+02, 0.25E+02, 0.45E+02 }; if ( *n_data < 0 ) { *n_data = 0; } *n_data = *n_data + 1; if ( N_MAX < *n_data ) { *n_data = 0; *a = 0.0; *x = 0.0; *fx = 0.0; } else { *a = a_vec[*n_data-1]; *x = x_vec[*n_data-1]; *fx = fx_vec[*n_data-1]; } return; # undef N_MAX } /******************************************************************************/ double gammds ( double x, double p, int *ifault ) /******************************************************************************/ /* Purpose: gammds() computes the incomplete Gamma integral. Discussion: The parameters must be positive. An infinite series is used. Licensing: This code is distributed under the MIT license. Modified: 11 November 2010 Author: Original FORTRAN77 version by Chi Leung Lau. C version by John Burkardt. Reference: Chi Leung Lau, Algorithm AS 147: A Simple Series for the Incomplete Gamma Integral, Applied Statistics, Volume 29, Number 1, 1980, pages 113-114. Parameters: Input, double X, P, the arguments of the incomplete Gamma integral. X and P must be greater than 0. Output, int *IFAULT, error flag. 0, no errors. 1, X <= 0 or P <= 0. 2, underflow during the computation. Output, double GAMMDS, the value of the incomplete Gamma integral. */ { double a; double arg; double c; double e = 1.0E-09; double f; double uflo = 1.0E-37; double value; /* Check the input. */ if ( x <= 0.0 ) { *ifault = 1; value = 0.0; return value; } if ( p <= 0.0 ) { *ifault = 1; value = 0.0; return value; } /* LGAMMA is the natural logarithm of the gamma function. */ arg = p * log ( x ) - lgamma ( p + 1.0 ) - x; if ( arg < log ( uflo ) ) { value = 0.0; *ifault = 2; return value; } f = exp ( arg ); if ( f == 0.0 ) { value = 0.0; *ifault = 2; return value; } *ifault = 0; /* Series begins. */ c = 1.0; value = 1.0; a = p; for ( ; ; ) { a = a + 1.0; c = c * x / a; value = value + c; if ( c <= e * value ) { break; } } value = value * f; return value; }