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Applied Linear Statistical Models by Jackie L. Butler, John Neter, Michael H. Kutner, William Li and Christopher J. Nachtsheim (2004, Hardcover)

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About this product

Product Identifiers

PublisherMcGraw-Hill Higher Education
ISBN-10007310874X
ISBN-139780073108742
eBay Product ID (ePID)16038278586

Product Key Features

LanguageEnglish
Publication NameApplied Linear Statistical Models
Publication Year2004
SubjectProbability & Statistics / General, Statistics
TypeTextbook
AuthorJackie L. Butler, John Neter, Michael H. Kutner, William Li, Christopher J. Nachtsheim
Subject AreaMathematics, Business & Economics
FormatHardcover

Dimensions

Item Height2.3 in
Item Weight78.7 Oz
Item Length9.4 in
Item Width7.8 in

Additional Product Features

Edition Number5
Intended AudienceCollege Audience
Dewey Edition22
Dewey Decimal519.5/36
Edition DescriptionStudent edition,Revised edition
Table Of ContentPart 1 Simple Linear Regression 1 Linear Regression with One Predictor Variable 2 Inferences in Regression and Correlation Analysis 3 Diagnostic 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 Multi-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 Part 6 Specialized Study Designs 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: Rules for Develping ANOVA Models and Tables for Balanced Designs Appendix E: Selected Bibliography
SynopsisA text and reference on statistical modeling, this work includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. It provides a use of computing and graphical analysis.
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