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