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