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Wiley Series in Probability and Statistics Ser.: Applied Regression Analysis by Harry Smith and Norman R. Draper (1998, Diskette / Hardcover, Revised edition)

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Product Information

Ein Hauptziel wissenschaftlicher Forschung ist das Auffinden von Beziehungen zwischen Variablen. Die Regressionsrechnung ist ein allgemein gebr uchliches statistisches Mittel zur Erstellung von mathematischen Modellen aus Forschungsdaten. Die 3. Auflage wurde um 16 neue Kapitel erweitert; die Grundlagen der Regressionsrechnung werden, ausgehend von klassischen Konzepten, pr zise erkl rt. Mit vielen bungsaufgaben und L sungen sowie einer Diskette. (06/98)

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471170828
ISBN-13
9780471170822
eBay Product ID (ePID)
820596

Product Key Features

Author
Harry Smith, Norman R. Draper
Publication Name
Applied Regression Analysis
Format
Hardcover
Language
English
Features
Revised
Series
Wiley Series in Probability and Statistics Ser.
Publication Year
1998
Type
Textbook
Number of Pages
736 Pages

Dimensions

Item Length
10.1in
Item Height
1.5in
Item Width
6.9in
Item Weight
49.7 Oz

Additional Product Features

Series Volume Number
326
Number of Volumes
1 Vol.
Lc Classification Number
Qa278.2.D7 1998
Edition Description
Revised Edition
Edition Number
3
Reviews
"I would wholeheartedly recommend this book to any statistician. The third edition has many advantages over the second." (Statistical Methods in Medical Research, Vol. 9, 5) "this is an excellently written book" (Statistics & Decisions, Vol. 19, No.3, 2001)
Table of Content
Basic Prerequisite Knowledge. Fitting a Straight Line by Least Squares. Checking the Straight Line Fit. Fitting Straight Lines: Special Topics. Regression in Matrix Terms: Straight Line Case. The General Regression Situation. Extra Sums of Squares and Tests for Several Parameters Being Zero. Serial Correlation in the Residuals and the Durbin-Watson Test. More of Checking Fitted Models. Multiple Regression: Special Topics. Bias in Regression Estimates, and Expected Values of Mean Squares and Sums of Squares. On Worthwhile Regressions, Big F's, and R¯2. Models Containing Functions of the Predictors, Including Polynomial Models. Transformation of the Response Variable. "Dummy" Variables. Selecting the "Best" Regression Equation. Ill-Conditioning in Regression Data. Ridge Regression. Generalized Linear Models (GLIM). Mixture Ingredients as Predictor Variables. The Geometry of Least Squares. More Geometry of Least Squares. Orthogonal Polynomials and Summary Data. Multiple Regression Applied to Analysis of Variance Problems. An Introduction to Nonlinear Estimation. Robust Regression. Resampling Procedures (Bootstrapping). Bibliography. True/False Questions. Answers to Exercises. Tables. Indexes.
Copyright Date
1998
Topic
Probability & Statistics / General, Probability & Statistics / Regression Analysis
Lccn
97-017969
Dewey Decimal
519.536
Intended Audience
Scholarly & Professional
Dewey Edition
21
Genre
Mathematics

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item 1 Applied Regression Analysis (Wiley Series in Probability an - ACCEPTABLE
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5 out of 5 stars
by leon.gwwFeb 08, 2019
good book
book in very good shape. shipping is a little bit slow, but expected.
Verified purchase: Yes | Condition: New
5 out of 5 stars
by wintsen608Mar 08, 2009
The best book for applied regression
This is the best book on applied regression. I bought it coz its required for a university course. However, the materials are quite in depth and you will need a solid background to fully appreciate it.

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