| Autore |
Montgomery Douglas C.
|
| Edizione | [Fifth edition.] |
| Pubbl/distr/stampa |
Hoboken, New Jersey : , : John Wiley & Sons Ltd, , 2012
|
| Descrizione fisica |
1 online resource
|
| Disciplina |
519.5/36
|
| Collana |
Wiley Series in Probability and Statistics
|
| Soggetto topico |
Regression analysis
|
| Soggetto genere / forma |
Electronic books.
|
| ISBN |
1-119-18017-1
1-118-62736-9
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Cover; Contents; Series; Title Page; Copyright; PREFACE; CHAPTER 1: INTRODUCTION; 1.1 REGRESSION AND MODEL BUILDING; 1.2 DATA COLLECTION; 1.3 USES OF REGRESSION; 1.4 ROLE OF THE COMPUTER; CHAPTER 2: SIMPLE LINEAR REGRESSION; 2.1 SIMPLE LINEAR REGRESSION MODEL; 2.2 LEAST - SQUARES ESTIMATION OF THE PARAMETERS; 2.3 HYPOTHESIS TESTING ON THE SLOPE AND INTERCEPT; 2.4 INTERVAL ESTIMATION IN SIMPLE LINEAR REGRESSION; 2.5 PREDICTION OF NEW OBSERVATIONS; 2.6 COEFFICIENT OF DETERMINATION; 2.7 A SERVICE INDUSTRY APPLICATION OF REGRESSION; 2.8 USING SAS® AND R FOR SIMPLE LINEAR REGRESSION
2.9 SOME CONSIDERATIONS IN THE USE OF REGRESSION2.10 REGRESSION THROUGH THE ORIGIN; 2.11 ESTIMATION BY MAXIMUM LIKELIHOOD; 2.12 CASE WHERE THE REGRESSOR X IS RANDOM; PROBLEMS; CHAPTER 3: MULTIPLE LINEAR REGRESSION; 3.1 MULTIPLE REGRESSION MODELS; 3.2 ESTIMATION OF THE MODEL PARAMETERS; 3.3 HYPOTHESIS TESTING IN MULTIPLE LINEAR REGRESSION; 3.4 CONFIDENCE INTERVALS IN MULTIPLE REGRESSION; 3.5 PREDICTION OF NEW OBSERVATIONS; 3.6 A MULTIPLE REGRESSION MODEL FOR THE PATIENT SATISFACTION DATA; 3.7 USING SAS AND R FOR BASIC MULTIPLE LINEAR REGRESSION; 3.8 HIDDEN EXTRAPOLATION IN MULTIPLE REGRESSION
3.9 STANDARDIZED REGRESSION COEFFLCIENTS3.10 MULTICOLLINEARITY; 3.11 WHY DO REGRESSION COEFFICIENTS HAVE THE WRONG SIGN?; PROBLEMS; CHAPTER 4: MODEL ADEQUACY CHECKING; 4.1 INTRODUCTION; 4.2 RESIDUAL ANALYSIS; 4.3 PRESS STATISTIC; 4.4 DETECTION AND TREATMENT OF OUTLIERS; 4.5 LACK OF FIT OF THE REGRESSION MODEL; PROBLEMS; CHAPTER 5: TRANSFORMATIONS AND WEIGHTING TO CORRECT MODEL INADEQUACIES; 5.1 INTRODUCTION; 5.2 VARIANCE - STABILIZING TRANSFORMATIONS; 5.3 TRANSFORMATIONS TO LINEARIZE THE MODEL; 5.4 ANALYTICAL METHODS FOR SELECTING A TRANSFORMATION; 5.5 GENERALIZED AND WEIGHTED LEAST SQUARES
5.6 REGRESSION MODELS WITH RANDOM EFFECTSPROBLEMS; CHAPTER 6: DIAGNOSTICS FOR LEVERAGE AND INFLUENCE; 6.1 IMPORTANCE OF DETECTING INFLUENTIAL OBSERVATIONS; 6.2 LEVERAGE; 6.3 MEASURES OF INFLUENCE: COOK'S D; 6.4 MEASURES OF INFLUENCE: DFFITS AND DFBETAS; 6.5 A MEASURE OF MODEL PERFORMANCE; 6.6 DETECTING GROUPS OF INFLUENTIAL OBSERVATIONS; 6.7 TREATMENT OF INFLUENTIAL OBSERVATIONS; PROBLEMS; CHAPTER 7: POLYNOMIAL REGRESSION MODELS; 7.1 INTRODUCTION; 7.2 POLYNOMIAL MODELS IN ONE VARIABLE; 7.3 NONPARAMETRIC REGRESSION; 7.4 POLYNOMIAL MODELS IN TWO OR MORE VARIABLES; 7.5 ORTHOGONAL POLYNOMIALS
PROBLEMSCHAPTER 8: INDICATOR VARIABLES; 8.1 GENERAL CONCEPT OF INDICATOR VARIABLES; 8.2 COMMENTS ON THE USE OF INDICATOR VARIABLES; 8.3 REGRESSION APPROACH TO ANALYSIS OF VARIANCE; PROBLEMS; CHAPTER 9: MULTICOLLINEARITY; 9.1 INTRODUCTION; 9.2 SOURCES OF MULTICOLLINEARITY; 9.3 EFFECTS OF MULTICOLLINEARITY; 9.4 MULTICOLLINEARITY DIAGNOSTICS; 9.5 METHODS FOR DEALING WITH MULTICOLLINEARITY; 9.6 USING SAS TO PERFORM RIDGE AND PRINCIPAL-COMPONENT REGRESSION; PROBLEMS; CHAPTER 10: VARIABLE SELECTION AND MODEL BUILDING; 10.1 INTRODUCTION; 10.2 COMPUTATIONAL TECHNIQUES FOR VARIABLE SELECTION
10.3 STRATEGY FOR VARIABLE SELECTION AND MODEL BUILDING
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| Record Nr. | UNINA-9910464198603321 |
Info
Introduction to linear regression analysis / / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
