Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition > 5.1 The Shift Function > 5.1.7 R Functions g2plot and splotg2 - Pg. : Safari Books Online

Table of Contents

Download Safari Books Online apps: Apple iOS | Android

Entire Site

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

This Book

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition

Search

Contents

Table of Contents

Introduction to Robust Estimation and Hypothesis Testing

Table of Contents

2 A Foundation for Robust Methods

3 Estimating Measures of Location and Scale

4 Confidence Intervals in the One-Sample Case

5 Comparing Two Groups

5.1 The Shift Function

5.1.1 The Kolmogorov-Smirnov Test

5.1.2 R Functions ks, kssig, kswsig, and kstiesig

5.1.3 The S Band and W Band for the Shift Function

5.1.4 R Functions sband and wband

5.1.5 Confidence Band for the Deciles Only

5.1.6 R Function shifthd

5.1.7 R Functions g2plot and splotg2

5.2 Student's t-test

5.3 Comparing Medians and Other Trimmed Means

5.4 Inferences Based on a Percentile Bootstrap Method

5.5 Comparing Measures of Scale

5.6 Permutation Tests

5.7 Inferences About a Probabilistic Measure of Effect Size

5.8 Comparing Two Independent Binomials

5.9 Comparing Dependent Groups

6 Some Multivariate Methods

7 One-Way and Higher Designs for Independent Groups

8 Comparing Multiple Dependent Groups

9 Correlation and Tests of Independence

10 Robust Regression

11 More Regression Methods

URL

Help