Modern Real Estate Practice In Illinois 6th Edition / Edition 6

Modern Real Estate Practice In Illinois 6th Edition / Edition 6

by Fillmore w. Galaty, Robert C Kyle, Laurie Macdougal, Wellington J Allaway
     
 

ISBN-10: 1427768331

ISBN-13: 9781427768339

Pub. Date: 06/11/2008

Publisher: Kaplan Publishing

Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear…  See more details below

Overview

Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.

Product Details

ISBN-13:
9781427768339
Publisher:
Kaplan Publishing
Publication date:
06/11/2008
Edition description:
Older Edition
Pages:
624
Product dimensions:
8.50(w) x 10.90(h) x 1.40(d)

Table of Contents

1Introduction1
2Simple linear regression12
3Multiple linear regression63
4Model adequacy checking122
5Transformations and weighting to correct model inadequacies160
6Diagnostics for leverage and influence189
7Polynomial regression models201
8Indicator variables237
9Variable selection and model building261
10Validation of regression models305
11Multicollinearity323
12Robust regression369
13Introduction to nonlinear regression397
14Generalized linear models427
15Other topics in the use of regression analysis475

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