/*HEADER
       Module:       z.c
       Purpose:      compute approximations to normal z distribution probabilities
       Programmer:   Gary Perlman
       Organization: Wang Institute, Tyngsboro, MA 01879
       Tester:       compile with -DZTEST to include main program
       Copyright:    none
       Tabstops:     4
*/

/*LINTLIBRARY*/
static char sccsfid[] = "@(#) z.c 5.1 (|stat) 12/26/85";
#include       <math.h>

#define        Z_EPSILON      0.000001       /* accuracy of critz approximation */
#define        Z_MAX          6.0            /* maximum meaningful z value */

double poz ();
double critz ();

/*#ifdef ZTEST
main ()
       {
       double  z;
       printf ("%4s  %10s  %10s  %10s\n",
               "z", "poz(z)", "poz(-z)", "z'");
       for (z = 0.0; z <= Z_MAX; z += .01)
               {
               printf ("%4.2f  %10.6f  %10.6f  %10.6f\n",
                       z, poz (z), poz (-z), critz (poz (z)));
               }
       }
#endif ZTEST
*/
/*FUNCTION poz: probability of normal z value */
/*ALGORITHM
       Adapted from a polynomial approximation in:
               Ibbetson D, Algorithm 209
               Collected Algorithms of the CACM 1963 p. 616
       Note:
               This routine has six digit accuracy, so it is only useful for absolute
               z values < 6.  For z values >= to 6.0, poz() returns 0.0.
*/
double            /*VAR returns cumulative probability from -oo to z */
poz (z)
double z;        /*VAR normal z value */
       {
       double  y, x, w;
       
       if (z == 0.0)
               x = 0.0;
       else
               {
               y = 0.5 * fabs (z);
               if (y >= (Z_MAX * 0.5))
                       x = 1.0;
               else if (y < 1.0)
                       {
                       w = y*y;
                       x = ((((((((0.000124818987 * w
                               -0.001075204047) * w +0.005198775019) * w
                               -0.019198292004) * w +0.059054035642) * w
                               -0.151968751364) * w +0.319152932694) * w
                               -0.531923007300) * w +0.797884560593) * y * 2.0;
                       }
               else
                       {
                       y -= 2.0;
                       x = (((((((((((((-0.000045255659 * y
                               +0.000152529290) * y -0.000019538132) * y
                               -0.000676904986) * y +0.001390604284) * y
                               -0.000794620820) * y -0.002034254874) * y
                               +0.006549791214) * y -0.010557625006) * y
                               +0.011630447319) * y -0.009279453341) * y
                               +0.005353579108) * y -0.002141268741) * y
                               +0.000535310849) * y +0.999936657524;
                       }
               }
       return (z > 0.0 ? ((x + 1.0) * 0.5) : ((1.0 - x) * 0.5));
       }

/*FUNCTION critz: compute critical z value to produce given probability */
/*ALGORITHM
       Begin with upper and lower limits for z values (maxz and minz)
       set to extremes.  Choose a z value (zval) between the extremes.
       Compute the probability of the z value.  Set minz or maxz, based
       on whether the probability is less than or greater than the
       desired p.  Continue adjusting the extremes until they are
       within Z_EPSILON of each other.
*/
double        /*VAR returns z such that fabs (poz(p) - z) <= .000001 */
critz (p)
double p;    /*VAR critical probability level */
       {
       double  minz = -Z_MAX;    /* minimum of range of z */
       double  maxz = Z_MAX;     /* maximum of range of z */
       double  zval = 0.0;       /* computed/returned z value */
       double  poz (), pval;     /* prob (z) function, pval := poz (zval) */

       
       if (p <= 0.0 || p >= 1.0)
               return (0.0);
       
       while (maxz - minz > Z_EPSILON)
               {
               pval = poz (zval);
               if (pval > p)
                       maxz = zval;
               else
                       minz = zval;
               zval = (maxz + minz) * 0.5;
               }
       return (zval);
       }