```/* nag_univar_estim_normal (g07bbc) Example Program.
*
* Copyright 2019 Numerical Algorithms Group.
*
* Mark 27.0, 2019.
*/

#include <stdio.h>
#include <string.h>
#include <nag.h>

int main(void)
{
/* Scalars */
double corr, dev, sexmu, sexsig, tol, xmu, xsig;
Integer exit_status, i, maxit, n, nit;
/* Arrays */
char nag_enum_arg[40];
double *x = 0, *xc = 0;
Integer *ic = 0, *nobs = 0;
Nag_CEMethod method;
NagError fail;

INIT_FAIL(fail);

exit_status = 0;
printf("nag_univar_estim_normal (g07bbc) Example Program Results\n");

/* Skip heading in data file */
scanf("%*[^\n] ");
scanf("%" NAG_IFMT " %39s %lf%lf%lf%" NAG_IFMT "%*[^\n] ", &n, nag_enum_arg,
&xmu, &xsig, &tol, &maxit);
/* nag_enum_name_to_value (x04nac).
* Converts NAG enum member name to value
*/
method = (Nag_CEMethod) nag_enum_name_to_value(nag_enum_arg);

/* Allocate memory */
if (!(x = NAG_ALLOC(n, double)) ||
!(xc = NAG_ALLOC(n, double)) ||
!(ic = NAG_ALLOC(n, Integer)) || !(nobs = NAG_ALLOC(4, Integer)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}

for (i = 1; i <= n; ++i)
scanf("%lf%lf%" NAG_IFMT "", &x[i - 1], &xc[i - 1], &ic[i - 1]);
scanf("%*[^\n] ");

/* nag_univar_estim_normal (g07bbc).
* Computes maximum likelihood estimates for parameters of
* the Normal distribution from grouped and/or censored data
*/
nag_univar_estim_normal(method, n, x, xc, ic, &xmu, &xsig, tol, maxit,
&sexmu, &sexsig, &corr, &dev, nobs, &nit, &fail);

if (fail.code != NE_NOERROR) {
printf("Error from nag_univar_estim_normal (g07bbc).\n%s\n", fail.message);
exit_status = 1;
goto END;
}

printf("\n");
printf(" Mean = %8.4f\n", xmu);
printf(" Standard deviation = %8.4f\n", xsig);
printf(" Standard error of mean = %8.4f\n", sexmu);
printf(" Standard error of sigma = %8.4f\n", sexsig);
printf(" Correlation coefficient = %8.4f\n", corr);
printf(" Number of right censored observations = %2" NAG_IFMT "\n",
nobs[0]);
printf(" Number of left censored observations = %2" NAG_IFMT "\n", nobs[1]);
printf(" Number of interval censored observations = %2" NAG_IFMT "\n",
nobs[2]);
printf(" Number of exactly specified observations = %2" NAG_IFMT "\n",
nobs[3]);
printf(" Number of iterations = %2" NAG_IFMT "\n", nit);
printf(" Log-likelihood = %8.4f\n", dev);

END:
NAG_FREE(x);
NAG_FREE(xc);
NAG_FREE(ic);
NAG_FREE(nobs);

return exit_status;
}
```