Function Name |
Mark of Introduction |
Purpose |
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7 | nag_binomial_ci Computes confidence interval for the parameter of a binomial distribution |
g07abc
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7 | nag_poisson_ci Computes confidence interval for the parameter of a Poisson distribution |
g07bbc
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7 | nag_censored_normal Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
g07bec
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7 | nag_estim_weibull Computes maximum likelihood estimates for parameters of the Weibull distribution |
g07bfc
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9 | nag_estim_gen_pareto Estimates parameter values of the generalized Pareto distribution |
g07cac
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4 | nag_2_sample_t_test Computes -test statistic for a difference in means between two Normal populations, confidence interval |
g07dac
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3 | nag_median_1var Robust estimation, median, median absolute deviation, robust standard deviation |
g07dbc
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4 | nag_robust_m_estim_1var Robust estimation, -estimates for location and scale parameters, standard weight functions |
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7 | nag_robust_m_estim_1var_usr Robust estimation, -estimates for location and scale parameters, user-defined weight functions |
g07ddc
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4 | nag_robust_trimmed_1var Trimmed and winsorized mean of a sample with estimates of the variances of the two means |
g07eac
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7 | nag_rank_ci_1var Robust confidence intervals, one-sample |
g07ebc
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7 | nag_rank_ci_2var Robust confidence intervals, two-sample |
g07gac
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23 | nag_outlier_peirce Outlier detection using method of Peirce, raw data or single variance supplied |
g07gbc
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23 | nag_outlier_peirce_two_var Outlier detection using method of Peirce, two variances supplied |