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Applied Linear Statistical Models by John Neter, Michael H. Kutner, William Wasserman and Chris J. Nachtsheim (1996, Hardcover)
Starbell Vintage (2100)
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About this product
Product Identifiers
PublisherMcGraw-Hill Higher Education
ISBN-100256117365
ISBN-139780256117363
eBay Product ID (ePID)80779
Product Key Features
Number of Pages1408 Pages
LanguageEnglish
Publication NameApplied Linear Statistical Models
Publication Year1996
SubjectProbability & Statistics / General, Probability & Statistics / Regression Analysis, Statistics, Research & Methodology
TypeTextbook
Subject AreaMathematics, Science, Business & Economics
AuthorJohn Neter, Michael H. Kutner, William Wasserman, Chris J. Nachtsheim
FormatHardcover
Dimensions
Item Height2 in
Item Weight96.2 Oz
Item Length10.3 in
Item Width8.3 in
Additional Product Features
Edition Number4
Intended AudienceCollege Audience
LCCN95-037447
Dewey Edition20
IllustratedYes
Dewey Decimal519.5
Table Of Content1 Linear Regression with One Independent Variable 2 Inferences in Regression Analysis 3 Diagnostic and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis 6 Multiple Regression I 7 Multiple Regression II 8 Building the Regression Model I: Selection of Predictor Variables 9 Building the Regression Model II: Diagnostics 10 Building the Regression Model III: Remedial Measures and Validation 11 Qualitative Predictor Variables 12 Autocorrelation in Time Series Data 13 Introduction to Nonlinear Regression 14 Logistic Regression, Poisson Regression, and Generalized Linear Models 15 Normal Correlation Models 16 Analysis of Variance 17 Analysis of Factor-Level Effects 18 ANOVA Diagnostics and Remedial Measures 19 Two-Factor Analysis of VarianceßEqual Sample Sizes 20 Analysis of Factor Effects in Two-Factor StudiesßEqual Sample Sizes 21 Two-Factor StudiesßOne Case per Treatment 22 Two Factor StudiesßUnequal Sample Sizes and Unequal Treatment Importance 23 Multi-Factor Studies 24 Random and Mixed-Effect Models 25 Analysis of Covariance 26 Design of Experiments, Randomization, and Sample Size Planning 27 Randomized Block Designs 28 Nested Designs, Subsampling, and Partially Nested Designs 29 Repeated Measure Designs 30 Latin Square and Related Designs 31 Explanatory Experiments--Two-level Factorial and Fractional Factorial Designs 32 Response Surface Methodology Appendixes
SynopsisThis text uses an applied approach, with an emphasis on the understanding of concepts and exposition by means of examples. Sufficient theoretical information is provided to enable applications of regression analysis to be carried out. Case studies are used to illustrate many of the statistical methods. There is coverage of composite designs for response surface studies and an introduction to the use of computer-generated optimal designs. The Holm procedure is featured, as well as the analysis of means of identifying important effects. This edition includes an expanded use of graphics: scatter plot matrices, three-dimensional rotating plots, paired comparison plots, three-dimensional response surface and contour plots, and conditional effects plots. An accompanying Student Solutions Manual works out problems in the text.
LC Classification NumberQA278.2.A66 1996
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