G07 – Univariate Estimation
- G07 Introduction
- g07aa – Computes confidence interval for the parameter of a binomial distribution
- nag_univar_ci_binomial – g07aa
- g07ab – Computes confidence interval for the parameter of a Poisson distribution
- nag_univar_ci_poisson – g07ab
- g07bb – Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
- nag_univar_estim_normal – g07bb
- g07be – Computes maximum likelihood estimates for parameters of the Weibull distribution
- nag_univar_estim_weibull – g07be
- g07bf – Estimates parameter values of the generalized Pareto distribution
- nag_univar_estim_genpareto – g07bf
- g07ca – Computes t-test statistic for a difference in means between two Normal populations, confidence interval
- nag_univar_ttest_2normal – g07ca
- g07da – Robust estimation, median, median absolute deviation, robust standard deviation
- nag_univar_robust_1var_median – g07da
- g07db – Robust estimation, M-estimates for location and scale parameters, standard weight functions
- nag_univar_robust_1var_mestim – g07db
- g07dc – Robust estimation, M-estimates for location and scale parameters, user-defined weight functions
- nag_univar_robust_1var_mestim_wgt – g07dc
- g07dd – Computes a trimmed and winsorized mean of a single sample with estimates of their variance
- nag_univar_robust_1var_trimmed – g07dd
- g07ea – Robust confidence intervals, one-sample
- nag_univar_robust_1var_ci – g07ea
- g07eb – Robust confidence intervals, two-sample
- nag_univar_robust_2var_ci – g07eb
- g07ga – Outlier detection using method of Peirce, raw data or single variance supplied
- nag_univar_outlier_peirce_1var – g07ga
- g07gb – Outlier detection using method of Peirce, two variances supplied
- nag_univar_outlier_peirce_2var – g07gb
