Regression with Graphics: A Second Course in Applied Statistics

by Lawrence C. Hamilton

Book Overview

This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 0534159001
• ISBN13: 9780534159009
• Release Date: November 1991
• Publisher: Duxbury Resource Center
• Length: 363 Pages
• Weight: 0.60 lbs.
• Dimensions: 0.8" x 7.7" x 9.6"

Customer Reviews

Underappreciated Book

This book covers almost all the topics one would like a practioner to know, but briefly and with emphasis on graphic examination of the data. It is assumed the reader has access to some statistical package. A brief list of topics I was pleased to find in this book: quantile plots (p. 11!), transformations, partial regression leverage plots, dummy variables, a chapter examining assumptions of OLS regression (incl multicollinearity), exploratory band regression, non-linear regression, robust regression, logit regression, and principal componenet analysis. All the simple linear regression stuff is here, with relationship to analysis of variance. People come to me to ask questions about regression, and this book illustrates all the "gotchas" I want to warn them about. I recently went through 6 regression books I have accumulated since the 70's, and I find this book the one I would least like to have disappear off my shelves.

Simple and Convenient

An excellent book for the Student as well as the professional. This book presents statistical concepts in a clear and simple fashion, using graphs. This makes it a pretty handy guide for people who use regressions and other stat techniques.. The reader is expected to be a bit comfortable with some greek symbols though