| Chapter Introduction | |
| G07AAF | Computes confidence interval for the parameter of a binomial distribution |
| G07ABF | Computes confidence interval for the parameter of a Poisson distribution |
| G07BBF | Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| G07BEF | Computes maximum likelihood estimates for parameters of the Weibull distribution |
| G07CAF | Computes t-test statistic for a difference in means between two Normal populations, confidence interval |
| G07DAF | Robust estimation, median, median absolute deviation, robust standard deviation |
| G07DBF | Robust estimation, M-estimates for location and scale parameters, standard weight functions |
| G07DCF | Robust estimation, M-estimates for location and scale parameters, user-defined weight functions |
| G07DDF | Computes a trimmed and winsorized mean of a single sample with estimates of their variance |
| G07EAF | Robust confidence intervals, one-sample |
| G07EBF | Robust confidence intervals, two-sample |