Regression with Graphics: A Second Course in Applied Statistics

By Charlotte Danielson and Leslye Abrutyn

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 more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Hamilton, STATISTICS WITH STAT A, 5.0, 1998; ISBN: 0-534-31874-6.) 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: 1.86 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),...

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