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9780072386912

Applied Linear Regression Models

Applied Linear Regression Models
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  • Comments: ALTERNATE EDITION: Brand new International Soft Cover Edition. May not include extra materials such access code, card, CD or DVD. Different ISBN number and Cover Page with Regular Edition but same contents with Regular Edition. Book printed by High Quality Glossy Paper instead of low cost Edition. This International Edition might have minor differences at the exercise or short test at the end of chapters with Regular edition in very rare cases. Fast ship with Tracking number provided.

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  • Comments: LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an ac

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  • ISBN-13: 9780072386912
  • ISBN: 0072386916
  • Edition: 4
  • Publication Date: 2003
  • Publisher: McGraw-Hill Higher Education

AUTHOR

Kutner, Michael H., Neter, John, Nachtsheim, Chris J.

SUMMARY

Part1 Simple Linear Regression 1 Linear Regression with One Predictor Variable 2 Inferences in Regression and Correlation Analysis 3 Diagnostics and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis Part 2 Multiple Linear Regression 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Models for Quantitative and Qualitative Predictors 9 Building the Regression Model II: Model Selection and Validation 10 Building the Regression Model III: Diagnostics 11 Remedial Measures and Alternative Regression Techniques 12 Autocorrelation in Time Series Data Part 3 Nonlinear Regression 13 Introduction to Nonlinear Regression and Neural Networks 14 Logistic Regression, Poisson Regression, and Generalized Linear ModelsKutner, Michael H. is the author of 'Applied Linear Regression Models ', published 2003 under ISBN 9780072386912 and ISBN 0072386916.

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