Chapter Introduction (pdf version)
NAG Library Manual

G07 – Univariate Estimation

G07 Chapter Introduction
Routine
Name
Mark of
Introduction

Purpose
G07AAF
Example Text
Example Data
15 Computes confidence interval for the parameter of a binomial distribution
G07ABF
Example Text
Example Data
15 Computes confidence interval for the parameter of a Poisson distribution
G07BBF
Example Text
Example Data
15 Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
G07BEF
Example Text
Example Data
15 Computes maximum likelihood estimates for parameters of the Weibull distribution
G07CAF
Example Text
Example Data
15 Computes t-test statistic for a difference in means between two Normal populations, confidence interval
G07DAF
Example Text
Example Data
13 Robust estimation, median, median absolute deviation, robust standard deviation
G07DBF
Example Text
Example Data
13 Robust estimation, M-estimates for location and scale parameters, standard weight functions
G07DCF
Example Text
Example Data
13 Robust estimation, M-estimates for location and scale parameters, user-defined weight functions
G07DDF
Example Text
Example Data
14 Computes a trimmed and winsorized mean of a single sample with estimates of their variance
G07EAF
Example Text
Example Data
16 Robust confidence intervals, one-sample
G07EBF
Example Text
Example Data
16 Robust confidence intervals, two-sample

Chapter Introduction (pdf version)
NAG Library Manual

The Numerical Algorithms Group Ltd, Oxford, UK. 2006