Routine |
Mark of Introduction |
Purpose |
|---|---|---|
| g07aaf | 15 | nagf_univar_ci_binomial Computes confidence interval for the parameter of a binomial distribution |
| g07abf | 15 | nagf_univar_ci_poisson Computes confidence interval for the parameter of a Poisson distribution |
| g07bbf | 15 | nagf_univar_estim_normal Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| g07bef | 15 | nagf_univar_estim_weibull Computes maximum likelihood estimates for parameters of the Weibull distribution |
| g07bff | 23 | nagf_univar_estim_genpareto Estimates parameter values of the generalized Pareto distribution |
| g07caf | 15 | nagf_univar_ttest_2normal Computes -test statistic for a difference in means between two Normal populations, confidence interval |
| g07daf | 13 | nagf_univar_robust_1var_median Robust estimation, median, median absolute deviation, robust standard deviation |
| g07dbf | 13 | nagf_univar_robust_1var_mestim Robust estimation, -estimates for location and scale parameters, standard weight functions |
| g07dcf | 13 | nagf_univar_robust_1var_mestim_wgt Robust estimation, -estimates for location and scale parameters, user-defined weight functions |
| g07ddf | 14 | nagf_univar_robust_1var_trimmed Computes a trimmed and winsorized mean of a single sample with estimates of their variance |
| g07eaf | 16 | nagf_univar_robust_1var_ci Robust confidence intervals, one-sample |
| g07ebf | 16 | nagf_univar_robust_2var_ci Robust confidence intervals, two-sample |
| g07gaf | 23 | nagf_univar_outlier_peirce_1var Outlier detection using method of Peirce, raw data or single variance supplied |
| g07gbf | 23 | nagf_univar_outlier_peirce_2var Outlier detection using method of Peirce, two variances supplied |