Statistical Methods: A Geometric Primer

✍ Scribed by David J. Saville, Graham R. Wood (auth.)

• Publisher: Springer-Verlag New York
• Year: 1996
• Tongue: English
• Leaves: 278
• Edition: 1
• Category: Library

✦ Synopsis

The aim of this book is to present the mathematics underlying elementary statistical methods in as simple a manner as possible. These methods include independent and paired sample t-tests, analysis of variance, regression, and the analysis of covariance. The author's principle tool is the use of geometric ideas to provide more visual insight and to make the theory accessible to a wider audience than is usually possible.

✦ Table of Contents

Front Matter....Pages i-xi
Introduction....Pages 1-9
Paired Samples....Pages 10-38
Independent Samples....Pages 39-67
Several Independent Samples....Pages 68-102
Simple Regression....Pages 103-141
Overview....Pages 142-151
Back Matter....Pages 152-268

✦ Subjects

Probability Theory and Stochastic Processes