Applied Linear Regression Models [With CD-ROM]

4. Auflage 2004
ISBN: 978-0-07-301466-1
Verlag: MCGRAW HILL BOOK CO

Buch, Englisch, 701 Seiten, CDROM, 004, Format (B × H): 196 mm x 239 mm, Gewicht: 1656 g

Reihe: Irwin/McGraw Hill Series, Oper

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

Autoren/Hrsg.

Kutner, Michael H.

Kutner, Michael

Nachtsheim, Christopher J.

Nachtsheim, Christopher

Neter, John

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung

Inhaltsverzeichnis

Part1 Simple Linear Regression 1Linear Regression with One Predictor Variable 2Inferences in Regression and Correlation Analysis 3Diagnostics and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5Matrix Approach to Simple Linear Regression Analysis Part 2Multiple Linear Regression 6Multiple Regression I 7 Multiple Regression II 8Building the Regression Model I: Models for Quantitative and Qualitative Predictors 9 Building the Regression Model II: Model Selection and Validation 10Building the Regression Model III: Diagnostics 11Remedial Measures and Alternative Regression Techniques 12Autocorrelation in Time Series Data Part 3Nonlinear Regression 13Introduction to Nonlinear Regression and Neural Networks 14Logistic Regression, Poisson Regression, and Generalized Linear Models

Über Autor(innen)

Michael H. Kutner is a professor at Emory University in Atlanta.Chris J. Nachtsheim is a professor at the University of Minnesota--Minneapolis.John Neter is a professor at the University of Georgia in Athens.