Product Information

  • Thoroughly updated and more straightforward than ever, Applied Linear Regression Modelsincludes the latest statistics, developments, and methods in multicategory logistic regression; expanded treatment of diagnostics for logistic regression; a more powerful Levene test; and more. Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

This Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences) having great arrangement in word and layout, so you will not really feel uninterested in reading. Dec 23, 2013  The  Fourth Edition  of  Applied Linear Regression  provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the  Fourth Edition  uses interesting, real-world exercises and examples.

Product Identifiers

4th
  • McGraw-Hill Higher Education
  • 0073014664
  • 9780073014661
  • 30241582

Find great deals on eBay for applied linear regression. Shop with confidence. 5 product ratings - Applied Linear Regression Models- 4th Edition with Student CD.

Product Key Features

  • Hardcover
  • 2004
  • English

Dimensions

  • 48.4 Oz
  • 7.7in.
  • 1.3in.
  • 9.3in.

Additional Product Features

  • 21
  • 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 Models
  • 519.5/36
  • 2004
  • Christopher J. Nachtsheim, John Neter, Michael H. Kutner
  • 4
  • Revised
  • 2004-01-08

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.

Applied Linear Regression Models 4th Edition Pdf Download

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