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Applied linear regression [[electronic resource] /] / Sanford Weisberg
| Applied linear regression [[electronic resource] /] / Sanford Weisberg |
| Autore | Weisberg Sanford <1947-> |
| Edizione | [4th ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2014 |
| Descrizione fisica | 1 online resource (xvii, 340 p.) : ill |
| Disciplina | 519.536 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Regression analysis
Linear models (Statistics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-78955-5
1-118-59485-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Scatterplots -- 2 Simple Linear Regression -- 3 Multiple Regression -- 4 Interpretation of Main Effects -- 5 Complex Regressors -- 6 Testing and Analysis of Variance -- 7 Variances -- 8 Transformations -- 9 Regression Diagnostics -- 10 Variable Selection -- 11 Nonlinear Regression -- 12 Binomial and Poisson Regression -- A Appendix -- Bibliography -- Index. |
| Record Nr. | UNINA-9910462981403321 |
Weisberg Sanford <1947->
|
||
| Hoboken, N.J., : Wiley, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied linear regression / / Sanford Weisberg
| Applied linear regression / / Sanford Weisberg |
| Autore | Weisberg Sanford <1947-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (370 pages) : illustrations |
| Disciplina | 519.5/36 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Regression analysis |
| ISBN |
1118594851
9781118594858 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910795955703321 |
|
Weisberg Sanford <1947->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied linear regression / / Sanford Weisberg
| Applied linear regression / / Sanford Weisberg |
| Autore | Weisberg Sanford <1947-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (370 pages) : illustrations |
| Disciplina | 519.5/36 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Regression analysis |
| ISBN |
1118594851
9781118594858 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910814698803321 |
|
Weisberg Sanford <1947->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied linear regression [[electronic resource]]
| Applied linear regression [[electronic resource]] |
| Autore | Weisberg Sanford <1947-> |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2005 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.536 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Regression analysis
Mathematics Physical Sciences & Mathematics Mathematical Statistics |
| ISBN |
1-118-62595-1
1-280-53981-X 9786610539819 0-470-36037-2 0-471-70409-1 0-471-70408-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied Linear Regression; Contents; Preface; 1 Scatterplots and Regression; 1.1 Scatterplots; 1.2 Mean Functions; 1.3 Variance Functions; 1.4 Summary Graph; 1.5 Tools for Looking at Scatterplots; 1.5.1 Size; 1.5.2 Transformations; 1.5.3 Smoothers for the Mean Function; 1.6 Scatterplot Matrices; Problems; 2 Simple Linear Regression; 2.1 Ordinary Least Squares Estimation; 2.2 Least Squares Criterion; 2.3 Estimating σ(2); 2.4 Properties of Least Squares Estimates; 2.5 Estimated Variances; 2.6 Comparing Models: The Analysis of Variance; 2.6.1 The F-Test for Regression
2.6.2 Interpreting p-values2.6.3 Power of Tests; 2.7 The Coefficient of Determination, R(2); 2.8 Confidence Intervals and Tests; 2.8.1 The Intercept; 2.8.2 Slope; 2.8.3 Prediction; 2.8.4 Fitted Values; 2.9 The Residuals; Problems; 3 Multiple Regression; 3.1 Adding a Term to a Simple Linear Regression Model; 3.1.1 Explaining Variability; 3.1.2 Added-Variable Plots; 3.2 The Multiple Linear Regression Model; 3.3 Terms and Predictors; 3.4 Ordinary Least Squares; 3.4.1 Data and Matrix Notation; 3.4.2 Variance-Covariance Matrix of e; 3.4.3 Ordinary Least Squares Estimators 3.4.4 Properties of the Estimates3.4.5 Simple Regression in Matrix Terms; 3.5 The Analysis of Variance; 3.5.1 The Coefficient of Determination; 3.5.2 Hypotheses Concerning One of the Terms; 3.5.3 Relationship to the t -Statistic; 3.5.4 t-Tests and Added-Variable Plots; 3.5.5 Other Tests of Hypotheses; 3.5.6 Sequential Analysis of Variance Tables; 3.6 Predictions and Fitted Values; Problems; 4 Drawing Conclusions; 4.1 Understanding Parameter Estimates; 4.1.1 Rate of Change; 4.1.2 Signs of Estimates; 4.1.3 Interpretation Depends on Other Terms in the Mean Function 4.1.4 Rank Deficient and Over-Parameterized Mean Functions4.1.5 Tests; 4.1.6 Dropping Terms; 4.1.7 Logarithms; 4.2 Experimentation Versus Observation; 4.3 Sampling from a Normal Population; 4.4 More on R(2); 4.4.1 Simple Linear Regression and R(2); 4.4.2 Multiple Linear Regression; 4.4.3 Regression through the Origin; 4.5 Missing Data; 4.5.1 Missing at Random; 4.5.2 Alternatives; 4.6 Computationally Intensive Methods; 4.6.1 Regression Inference without Normality; 4.6.2 Nonlinear Functions of Parameters; 4.6.3 Predictors Measured with Error; Problems; 5 Weights, Lack of Fit, and More 5.1 Weighted Least Squares5.1.1 Applications of Weighted Least Squares; 5.1.2 Additional Comments; 5.2 Testing for Lack of Fit, Variance Known; 5.3 Testing for Lack of Fit, Variance Unknown; 5.4 General F Testing; 5.4.1 Non-null Distributions; 5.4.2 Additional Comments; 5.5 Joint Confidence Regions; Problems; 6 Polynomials and Factors; 6.1 Polynomial Regression; 6.1.1 Polynomials with Several Predictors; 6.1.2 Using the Delta Method to Estimate a Minimum or a Maximum; 6.1.3 Fractional Polynomials; 6.2 Factors; 6.2.1 No Other Predictors; 6.2.2 Adding a Predictor: Comparing Regression Lines 6.2.3 Additional Comments |
| Altri titoli varianti |
Wiley Series in Probability and Statistics
Applied Linear Regression, Third Edition |
| Record Nr. | UNINA-9910143572703321 |
|
Weisberg Sanford <1947->
|
||
| Hoboken, : Wiley, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||