Applied Regression Analysis

by Norman R. Draper and Harry Smith

Book Overview

Ein Hauptziel wissenschaftlicher Forschung ist das Auffinden von Beziehungen zwischen Variablen. Die Regressionsrechnung ist ein allgemein gebr uchliches statistisches Mittel zur Erstellung von... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0471029955
• ISBN13: 9780471029953
• Release Date: January 1981
• Publisher: John Wiley & Sons
• Length: 709 Pages
• Weight: 1.21 lbs.
• Dimensions: 1.6" x 6.3" x 9.3"

Customer Reviews

classic text on linear regression

Draper and Smith have long had a reputation for an outstanding book on regression analysis written at an elementary to intermediate level. I have long had a copy on my bookshelf and continue to purchase the revisions. They are careful to keep the book current by always incorporating new advances. This edition includes many of the recent advances in regression diagnostics as well as a description of the bootstrap approach to regression problems. Those interested in regression graphics should consult the book by R. Dennis Cook. More on the bootstrap can be found in my book "Bootstrap Methods: A Practitioner's Guide" or the other fine books by Efron and Tibshirani, Davison and Hinkley, and Lunneborg.

Applied Regression Analysis, Includes disk (Wiley Series in Probability and Statistics)

esplains the theory very detaily. and lots of excercise and solution is included

One Of The Best Out There

This is a very complete book on regression analysis. Required for all those who use regression in their work. It is very understandable for the applied worker, but take your time in studying it.

A Great Introduction to Regression Analysis

I used this book for an undergraduate class in college. It was on the bookshelves of most of my Statistics professors (older editions of course). I found it to be a very intuitive and strait forward introduction in Regression Analysis. It contains all the basics needed to understand the bread and butter of Regression.

METHODS

TYPICS PROBLEM