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" Handbook of regression methods / "
Derek S. Young.
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BL
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| Record Number
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852079
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| Main Entry
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Young, Derek S.
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| Title & Author
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Handbook of regression methods /\ Derek S. Young.
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| Publication Statement
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Boca Raton, FL :: CRC Press,, [2017]
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, ©2017
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1 online resource (xvi, 637 pages)
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| ISBN
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1315154706
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: 1498775306
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: 9781315154701
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: 9781498775304
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1498775292
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9781498775298
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; List of Examples; Preface; I: Simple Linear Regression; 1: Introduction; 2: Basics of Regression Models; 2.1 Regression Notation; 2.2 Population Model for Simple Linear Regression; 2.3 Ordinary Least Squares; 2.4 Measuring Overall Variation from the Sample Line; 2.4.1 R2; 2.5 Regression Through the Origin; 2.6 Distinguishing Regression from Correlation; 2.7 Regression Effect; 2.7.1 Regression Fallacy; 2.8 Examples; 3: Statistical Inference; 3.1 Hypothesis Testing and Confidence Intervals; 3.2 Power.
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3.3 Inference on the Correlation Model3.4 Intervals for a Mean Response; 3.5 Intervals for a New Observation; 3.6 Examples; 4: Regression Assumptions and Residual Diagnostics; 4.1 Consequences of Invalid Assumptions; 4.2 Diagnosing Validity of Assumptions; 4.3 Plots of Residuals Versus Fitted Values; 4.3.1 Ideal Appearance of Plots; 4.3.2 Diffculties Possibly Seen in the Plots; 4.4 Data Transformations; 4.5 Tests for Normality; 4.5.1 Skewness and Kurtosis; 4.6 Tests for Constant Error Variance; 4.7 Examples; 5: ANOVA for Simple Linear Regression; 5.1 Constructing the ANOVA Table.
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8.2 The General Linear F-Test8.3 Lack-of-Fit Testing in the Multiple Regression Setting; 8.4 Extra Sums of Squares; 8.5 Partial Measures and Plots; 8.6 Examples; 9: Indicator Variables; 9.1 Leave-One-Out Method; 9.2 Coeffcient Interpretations; 9.3 Interactions; 9.4 Coded Variables; 9.5 Conjoint Analysis; 9.6 Examples; III: Advanced Regression Diagnostic Methods; 10: Influential Values, Outliers, and More Diagnostic Tests; 10.1 More Residuals and Measures of Influence; 10.2 Masking, Swamping, and Search Methods; 10.3 More Diagnostic Tests; 10.4 Comments on Outliers and Influential Values.
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| Abstract
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Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of the handbook benefits both practitioners and researchers, who seek either to obtain a quick understanding of regression methods for specialized problems or to expand their own breadth of knowledge of regression topics. This handbook covers classic material about simple linear regression and multiple linear regression, including assumptions, effective visualizations, and inference procedures. It presents an overview of advanced diagnostic tests, remedial strategies, and model selection procedures. Finally, many chapters are devoted to a diverse range of topics, including censored regression, nonlinear regression, generalized linear models, and semiparametric regression.--
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| Subject
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Multivariate analysis.
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Regression analysis.
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MATHEMATICS-- Applied.
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MATHEMATICS-- Probability Statistics-- General.
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Multivariate Analyse
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Multivariate analysis.
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Regression analysis.
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Regressionsanalyse
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Statistical Computing.
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Statistical Theory Methods.
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| Dewey Classification
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519.5/36
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| LC Classification
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QA278.2.Y66 2017eb
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