Introduction to Linear Regression Analysis

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John Wiley & Sons, 2021年3月16日 - 704 頁
INTRODUCTION TO LINEAR REGRESSION ANALYSIS

A comprehensive and current introduction to the fundamentals of regression analysis

Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.

The new edition focuses on four key areas of improvement over the fifth edition:

  • New exercises and data sets
  • New material on generalized regression techniques
  • The inclusion of JMP software in key areas
  • Carefully condensing the text where possible

    • Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today’s cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.

     

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    內容

    MODEL ADEQUACY CHECKING
    		4
    SIMPLE LINEAR REGRESSION
    		12
    MULTIPLE LINEAR REGRESSION
    		69
    Coefficients
    		102
    Problems
    		170
    TRANSFORMATIONS AND WEIGHTING
    		177
    DIAGNOSTICS FOR LEVERAGE AND INFLUENCE
    		217
    7
    		230
    Problems
    		481
    REGRESSION ANALYSIS OF TIME SERIES DATA
    		495
    OTHER TOPICS IN THE USE OF REGRESSION ANALYSIS
    		521
    APPENDIX A STATISTICAL TABLES
    		561
    APPENDIX B DATA SETS FOR EXERCISES
    		573
    SUPPLEMENTAL TECHNICAL MATERIAL
    		602
    INTRODUCTION TO
    		641
    APPENDIX E INTRODUCTION TO R TO PERFORM LINEAR REGRESSION ANALYSIS
    		651

    INDICATOR VARIABLES
    		268
    MULTICOLLINEARITY
    		293
    VARIABLE SELECTION AND MODEL BUILDING
    		342
    11
    		388
    INTRODUCTION TO NONLINEAR REGRESSION
    		405
    GENERALIZED LINEAR MODELS
    		440
    Regression
    		459
    Basic Data Entry
    		652
    Brief Comments on Other Functionality in R
    		654
    R Commander
    		655
    REFERENCES
    		656
    INDEX
    		670
    著作權所有

    其他版本 - 查看全部

    Introduction to Linear Regression Analysis
    Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining
    有限的預覽 - 2021
    Introduction to Linear Regression Analysis
    Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining
    有限的預覽 - 2021
    Introduction to Linear Regression Analysis, Book + Solutions Manual Set
    Douglas C. Montgomery
    本書不提供預覽 - 2021

    常見字詞

    analysis applied approach appropriate approximate assume assumption Calculate called Chapter Compare Consider constant Construct correlation data set degrees of freedom depends developed Discuss distance distribution Edition effect equation error estimate Example expected experiment Figure follows function given gives hypothesis important increases indicates intercept least least-squares levels linear regression model matrix mean measure method MSRes multicollinearity multiple nonlinear normal Note observations obtained original output parameters Perform plot possible prediction predictor presents probability problem procedure produce random regression coefficients regressor variables regressors relationship residuals response sample Second selection shown significance simple linear regression situation slope soft drink space specific SSRes standard statistic sum of squares Suppose Table temperature transformation usually variable variance vector versus weighted

    關於作者 (2021)

    DOUGLAS C. MONTGOMERY, PHD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is the co-author of several Wiley books including Introduction to Linear Regression Analysis, 5th Edition.

    ELIZABETH A. PECK, PHD, is Logistics Modeling Specialist at the Coca-Cola Company in Atlanta, Georgia.

    G. GEOFFREY VINING, PHD, is Professor in the Department of Statistics at Virginia Polytechnic and State University. Dr. Peck is co-author of Introduction to Linear Regression Analysis, 5th Edition.

    書目資訊

    書名Introduction to Linear Regression Analysis
    Wiley Series in Probability and Statistics
    作者Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
    版本6, 圖解
    出版者John Wiley & Sons, 2021
    ISBN1119578728, 9781119578727
    頁數704 頁
      
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