Description |
xxviii, 1396 pages : illustrations ; 24 cm + 1 CD-ROM (4 3/4 in.) |
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4 3/4 in |
Series |
The McGraw-Hill/Irwin series: operations and decision sciences |
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McGraw-Hill/Irwin series operations and decision sciences.
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Contents |
Machine derived contents note: Part1 Simple Linear Regression -- 1 Linear Regression with One Predictor Variable -- 2 Inferences in Regression 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 Regression Models for Quantitative and Qualitative Predictors -- 9 Building the Regression Model I: Model Selection and Validation -- 10 Building the Regression Model II: Diagnostics -- 11 Building the Regression Model III: Remedial Measures -- 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 -- Part 4 Design and Analysis of Single-Factor Studies -- 15 Introduction to the Design of Experimental and Observational Studies -- 16 Single-Factor Studies -- 17 Analysis of Factor Level Means -- 18 ANOVA Diagnostics and Remedial Measures -- Part 5 Factor Studies -- 19 Two -Factor Studies with Equal Sample Sizes -- 20 Two -Factor Studies-One Case per Treatment -- 21 Randomized Complete Block Designs -- 22 Analysis of Covariance -- 23 Two-Factor Studies with Unequal Sample Sizes -- 24 Multifactor Studies -- 25 Random and Mixed Effects Models -- 26 Nested Designs, Subsampling, and Partially Nested Designs -- 27 Repeated Measures and Related Designs -- 28 Balanced Incomplete Block, Latin Square, and Related Designs -- 29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs -- 30 Response Surface Methodology -- Appendix A: Some Basic Results in Probability and Statistics -- Appendix B: Tables -- Appendix C: Data Sets -- Appendix D: ANOVA Models and Tables for Balanced Designs -- Appendix E: Selected Bibliography |
Related To |
Oorspr. titel John Neter and William Wasserman Applied linear statistical models : regression, analysis of variance, and experimental designs. Homewood, Ill. : Irwin, 1974 |
Notes |
Includes index |
Bibliography |
Includes bibliographical references (pages 1374-1384) and index |
Notes |
System requirements for accompanying CD-ROM: PC, pentium based processor; Microsoft Windows 98/2000/XP; IE explorer 5.5; MS Office or equivalent |
Subject |
Regression analysis -- Textbooks.
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Analysis of variance -- Textbooks.
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Experimental design -- Textbooks.
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Linear models (Statistics) -- Textbooks.
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Genre/Form |
Textbooks.
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Textbooks.
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Author |
Kutner, Michael H.
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LC no. |
2004052447 |
ISBN |
0072386886 acid-free paper |
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