|
Routine Name |
Mark of Introduction |
Purpose |
| g07aac | 7 |
nag_binomial_ci
Computes confidence interval for the parameter of a binomial distribution |
| g07abc | 7 |
nag_poisson_ci
Computes confidence interval for the parameter of a Poisson distribution |
| g07bbc | 7 |
nag_censored_normal
Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| g07bec | 7 |
nag_estim_weibull
Computes maximum likelihood estimates for parameters of the Weibull distribution |
| g07cac | 4 |
nag_2_sample_t_test
Computes t-test statistic for a difference in means between two Normal populations, confidence interval |
| g07dac | 1 |
nag_median_1var
Robust estimation, median, median absolute deviation, robust standard deviation |
| g07dbc | 4 |
nag_robust_m_estim_1var
Robust estimation, M-estimates for location and scale parameters, standard weight functions |
| g07dcc | 7 |
nag_robust_m_estim_1var_usr
Robust estimation, M-estimates for location and scale parameters, user-defined weight functions |
| g07ddc | 4 |
nag_robust_trimmed_1var
Trimmed and winsorized mean of a sample with estimates of the variances of the two means |
| g07eac | 7 |
nag_rank_ci_1var
Robust confidence intervals, one-sample |
| g07ebc | 7 |
nag_rank_ci_2var
Robust confidence intervals, two-sample |