function value = beta_inc ( a, b, x ) %*****************************************************************************80 % %% BETA_INC returns the value of the incomplete Beta function. % % Discussion: % % This calculation requires an iteration. In some cases, the iteration % may not converge rapidly, or may become inaccurate. % % BETA_INC(A,B,X) % % = Integral ( 0 <= T <= X ) T**(A-1) (1-T)**(B-1) dT % / Integral ( 0 <= T <= 1 ) T**(A-1) (1-T)**(B-1) dT % % = Integral ( 0 <= T <= X ) T**(A-1) (1-T)**(B-1) dT % / BETA(A,B) % % Licensing: % % This code is distributed under the GNU LGPL license. % % Modified: % % 02 September 2004 % % Author: % % MATLAB version by John Burkardt. % % Reference: % % Majumder and Bhattacharjee, % Algorithm AS63, % Applied Statistics, % 1973, volume 22, number 3. % % Parameters: % % Input, A, B, the parameters of the function. % 0.0D+00 < A, % 0.0D+00 < B. % % Input, real X, the argument of the function. % Normally, 0.0D+00 <= X <= 1.0. % % Output, BETA_INC, the value of the function. % it_max = 1000; tol = 1.0E-07; if ( a <= 0.0 ) fprintf ( 1, '\n' ); fprintf ( 1, 'BETA_INC - Fatal error!\n' ); fprintf ( 1, ' A <= 0.\n' ); error ( 'BETA_INC - Fatal error!' ); end if ( b <= 0.0 ) fprintf ( 1, '\n' ); fprintf ( 1, 'BETA_INC - Fatal error!\n' ); fprintf ( 1, ' B <= 0.\n' ); error ( 'BETA_INC - Fatal error!' ); end if ( x <= 0.0 ) value = 0.0; return elseif ( 1.0 <= x ) value = 1.0; return end % % Change tail if necessary and determine S. % psq = a + b; if ( a < ( a + b ) * x ) xx = 1.0 - x; cx = x; pp = b; qq = a; indx = 1; else xx = x; cx = 1.0 - x; pp = a; qq = b; indx = 0; end term = 1.0; i = 1; value = 1.0; ns = floor ( qq + cx * ( a + b ) ); % % Use Soper's reduction formulas. % rx = xx / cx; temp = qq - i; if ( ns == 0 ) rx = xx; end it = 0; while ( 1 ) it = it + 1; if ( it_max < it ) fprintf ( 1, '\n' ); fprintf ( 1, 'BETA_INC - Fatal error!\n' ); fprintf ( 1, ' Maximum number of iterations exceeded!\n' ); fprintf ( 1, ' IT_MAX = %d\n', it_max ); error ( 'BETA_INC - Fatal error!' ); end term = term * temp * rx / ( pp + i ); value = value + term; temp = abs ( term ); if ( temp <= tol & temp <= tol * value ) break end i = i + 1; ns = ns - 1; if ( 0 <= ns ) temp = qq - i; if ( ns == 0 ) rx = xx; end else temp = psq; psq = psq + 1.0; end end % % Finish calculation. % value = value * exp ( pp * log ( xx ) + ( qq - 1.0 ) * log ( cx ) ) ... / ( beta ( a, b ) * pp ); if ( indx ) value = 1.0 - value; end return end