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Applied Linear Regression Models

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ISBN-10: 0256070687

ISBN-13: 9780256070682

Edition: 2nd

Authors: John Neter, William Wasserman, Michael H. Kutner

List price: $66.95
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Description:

Applied Linear Regression Models was listed in the newsletter of the Decision Sciences Institute as a classic in its field and a text that should be on every member's shelf. The third edition continues this tradition. It is a successful blend of theory and application. The authors have taken an applied approach, and emphasize understanding concepts; this text demonstrates their approach trough worked-out examples. Sufficient theory is provided so that applications of regression analysis can be carried out with understanding. John Neter is past president of the Decision Science Institute, and Michael Kutner is a top statistician in the health and life sciences area. Applied Linear Regression…    
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Book details

List price: $66.95
Edition: 2nd
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Pages: 688
Size: 7.75" wide x 9.75" long x 1.25" tall
Weight: 2.882
Language: English

Linear Regression with One Independent Variablep. 3
Inferences in Regression Analysisp. 44
Diagnostics and Remedial Measuresp. 95
Simultaneous Inferences and Other Topics in Regression Analysisp. 152
Matrix Approach to Simple Linear Regression Analysisp. 176
Multiple Regression - Ip. 217
Multiple Regression - IIp. 260
Building the Regression Model I: Selection of Predictor Variablesp. 327
Building the Regression Model II: Diagnosticsp. 361
Building the Regression Model III: Remedial Measures and Validationp. 400
Qualitative Predictor Variablesp. 455
Autocorrelation in Time Series Datap. 497
Introduction to Nonlinear Regressionp. 531
Logistic Regression, Poisson Regression, and Generalized Linear Modelsp. 567
Normal Correlation Modelsp. 631
A Some Basic Results in Probability and Statisticsp. 663
Appendix B Tablesp. 685
Appendix C Data Setsp. 702
Appendix D Selected Bibliographyp. 708
Indexp. 715
Table of Contents provided by Blackwell. All Rights Reserved.