NAG Fortran Library

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

Table of Contents
© The Numerical Algorithms Group Ltd, Oxford UK. 2002