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ACCEPT : introduction of the adverse condition and critical event prediction toolbox / / Rodney A. Martin [and three others]
| ACCEPT : introduction of the adverse condition and critical event prediction toolbox / / Rodney A. Martin [and three others] |
| Autore | Martin Rodney A. |
| Pubbl/distr/stampa | Moffett Field, CA : , : National Aeronautics and Space Administration, Ames Research Center, , November 2015 |
| Descrizione fisica | 1 online resource (51 pages) : color illustrations |
| Collana | NASA/TM |
| Soggetto topico |
Mathematical models
Regression analysis Applications programs (computers) Machine learning Monte Carlo method |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | ACCEPT |
| Record Nr. | UNINA-9910704242103321 |
Martin Rodney A.
|
||
| Moffett Field, CA : , : National Aeronautics and Space Administration, Ames Research Center, , November 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive tests of significance using permutations of residuals with R and SAS [[electronic resource] /] / Thomas W. O'Gorman
| Adaptive tests of significance using permutations of residuals with R and SAS [[electronic resource] /] / Thomas W. O'Gorman |
| Autore | O'Gorman Thomas W |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (365 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico |
Regression analysis
Computer adaptive testing R (Computer program language) |
| ISBN |
1-280-58894-2
1-118-21825-6 9786613618771 1-118-21822-1 |
| Classificazione | MAT029030 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Adaptive Tests of Significance Using Permutations of Residuals with R and SAS®; CONTENTS; Preface; 1 Introduction; 1.1 Why Use Adaptive Tests?; 1.2 A Brief History of Adaptive Tests; 1.2.1 Early Tests and Estimators; 1.2.2 Rank Tests; 1.2.3 The Weighted Least Squares Approach; 1.2.4 Recent Rank-Based Tests; 1.3 The Adaptive Test of Hogg, Fisher, and Randles; 1.3.1 Level of Significance of the HFR Test; 1.3.2 Comparison of Power of the HFR Test to the t Test; 1.4 Limitations of Rank-Based Tests; 1.5 The Adaptive Weighted Least Squares Approach; 1.5.1 Level of Significance
1.5.2 Comparison of Power of the Adaptive WLS Test to the t Test and the HFR Test1.6 Development of the Adaptive WLS Test; 2 Smoothing Methods and Normalizing Transformations; 2.1 Traditional Estimators of the Median and the Interquartile Range; 2.2 Percentile Estimators that Use the Smooth Cumulative Distribution Function; 2.2.1 Smoothing the Cumulative Distribution Function; 2.2.2 Using the Smoothed c.d.f. to Compute Percentiles; 2.2.3 R Code for Smoothing the c.d.f.; 2.2.4 R Code for Finding Percentiles; 2.3 Estimating the Bandwidth 2.3.1 An Estimator of Variability Based on Traditional Percentiles2.3.2 R Code for Finding the Bandwidth; 2.3.3 An Estimator of Variability Based on Percentiles from the Smoothed Distribution Function; 2.4 Normalizing Transformations; 2.4.1 Traditional Normalizing Methods; 2.4.2 Normalizing Data by Weighting; 2.5 The Weighting Algorithm; 2.5.1 An Example of the Weighing Procedure; 2.5.2 R Code for Weighting the Observations; 2.6 Computing the Bandwidth; 2.6.1 Error Distributions; 2.6.2 Measuring Errors in Adaptive Weighting; 2.6.3 Simulation Studies; 2.7 Examples of Transformed Data Exercises3 A Two-Sample Adaptive Test; 3.1 A Two-Sample Model; 3.2 Computing the Adaptive Weights; 3.2.1 R Code for Computing the Weights; 3.3 The Test Statistics for Adaptive Tests; 3.3.1 R Code to Compute the Test Statistic; 3.4 Permutation Methods for Two-Sample Tests; 3.4.1 Permutation of Observations; 3.4.2 Permutation of Residuals; 3.4.3 R Code for Permutations; 3.5 An Example of a Two-Sample Test; 3.6 R Code for the Two-Sample Test; 3.6.1 R Code for Computing the Test Statistics; 3.6.2 R Code to Compute the Traditional F Test Statistic and p-Value 3.6.3 An R Function that Computes the p-Value for the Adaptive Test3.6.4 R Code to Perform the Adaptive Test; 3.7 Level of Significance of the Adaptive Test; 3.8 Power of the Adaptive Test; 3.9 Sample Size Estimation; 3.10 A SAS Macro for the Adaptive Test; 3.11 Modifications for One-Tailed Tests; 3.12 Justification of the Weighting Method; 3.13 Comments on the Adaptive Two-sample Test; Exercises; 4 Permutation Tests with Linear Models; 4.1 Introduction; 4.2 Notation; 4.3 Permutations with Blocking; 4.4 Linear Models in Matrix Form; 4.5 Permutation Methods; 4.5.1 The Permute-Errors Method 4.5.2 The Permute-Residuals Method |
| Record Nr. | UNINA-9910141323703321 |
|
O'Gorman Thomas W
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive tests of significance using permutations of residuals with R and SAS / / Thomas W. O'Gorman
| Adaptive tests of significance using permutations of residuals with R and SAS / / Thomas W. O'Gorman |
| Autore | O'Gorman Thomas W |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (365 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico |
Regression analysis
Computer adaptive testing R (Computer program language) |
| ISBN |
9786613618771
9781280588945 1280588942 9781118218259 1118218256 9781118218228 1118218221 |
| Classificazione | MAT029030 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Adaptive Tests of Significance Using Permutations of Residuals with R and SAS®; CONTENTS; Preface; 1 Introduction; 1.1 Why Use Adaptive Tests?; 1.2 A Brief History of Adaptive Tests; 1.2.1 Early Tests and Estimators; 1.2.2 Rank Tests; 1.2.3 The Weighted Least Squares Approach; 1.2.4 Recent Rank-Based Tests; 1.3 The Adaptive Test of Hogg, Fisher, and Randles; 1.3.1 Level of Significance of the HFR Test; 1.3.2 Comparison of Power of the HFR Test to the t Test; 1.4 Limitations of Rank-Based Tests; 1.5 The Adaptive Weighted Least Squares Approach; 1.5.1 Level of Significance
1.5.2 Comparison of Power of the Adaptive WLS Test to the t Test and the HFR Test1.6 Development of the Adaptive WLS Test; 2 Smoothing Methods and Normalizing Transformations; 2.1 Traditional Estimators of the Median and the Interquartile Range; 2.2 Percentile Estimators that Use the Smooth Cumulative Distribution Function; 2.2.1 Smoothing the Cumulative Distribution Function; 2.2.2 Using the Smoothed c.d.f. to Compute Percentiles; 2.2.3 R Code for Smoothing the c.d.f.; 2.2.4 R Code for Finding Percentiles; 2.3 Estimating the Bandwidth 2.3.1 An Estimator of Variability Based on Traditional Percentiles2.3.2 R Code for Finding the Bandwidth; 2.3.3 An Estimator of Variability Based on Percentiles from the Smoothed Distribution Function; 2.4 Normalizing Transformations; 2.4.1 Traditional Normalizing Methods; 2.4.2 Normalizing Data by Weighting; 2.5 The Weighting Algorithm; 2.5.1 An Example of the Weighing Procedure; 2.5.2 R Code for Weighting the Observations; 2.6 Computing the Bandwidth; 2.6.1 Error Distributions; 2.6.2 Measuring Errors in Adaptive Weighting; 2.6.3 Simulation Studies; 2.7 Examples of Transformed Data Exercises3 A Two-Sample Adaptive Test; 3.1 A Two-Sample Model; 3.2 Computing the Adaptive Weights; 3.2.1 R Code for Computing the Weights; 3.3 The Test Statistics for Adaptive Tests; 3.3.1 R Code to Compute the Test Statistic; 3.4 Permutation Methods for Two-Sample Tests; 3.4.1 Permutation of Observations; 3.4.2 Permutation of Residuals; 3.4.3 R Code for Permutations; 3.5 An Example of a Two-Sample Test; 3.6 R Code for the Two-Sample Test; 3.6.1 R Code for Computing the Test Statistics; 3.6.2 R Code to Compute the Traditional F Test Statistic and p-Value 3.6.3 An R Function that Computes the p-Value for the Adaptive Test3.6.4 R Code to Perform the Adaptive Test; 3.7 Level of Significance of the Adaptive Test; 3.8 Power of the Adaptive Test; 3.9 Sample Size Estimation; 3.10 A SAS Macro for the Adaptive Test; 3.11 Modifications for One-Tailed Tests; 3.12 Justification of the Weighting Method; 3.13 Comments on the Adaptive Two-sample Test; Exercises; 4 Permutation Tests with Linear Models; 4.1 Introduction; 4.2 Notation; 4.3 Permutations with Blocking; 4.4 Linear Models in Matrix Form; 4.5 Permutation Methods; 4.5.1 The Permute-Errors Method 4.5.2 The Permute-Residuals Method |
| Record Nr. | UNINA-9910811410703321 |
|
O'Gorman Thomas W
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| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Modeling and Data Challenges / / by Mike Nguyen
| Advanced Modeling and Data Challenges / / by Mike Nguyen |
| Autore | Nguyen Mike |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (417 pages) |
| Disciplina | 001.433 |
| Collana | Mathematics and Statistics Series |
| Soggetto topico |
Sampling (Statistics)
Regression analysis Mathematical statistics Methodology of Data Collection and Processing Linear Models and Regression Parametric Inference Mostreig (Estadística) Anàlisi de regressió Estadística matemàtica Models lineals (Estadística) Metodologia de la ciència |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783032017192
9783032017185 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911039319003321 |
|
Nguyen Mike
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Statistical Methods / / by Sahana Prasad
| Advanced Statistical Methods / / by Sahana Prasad |
| Autore | Prasad Sahana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (238 pages) |
| Disciplina | 001.422 |
| Soggetto topico |
Statistics
Regression analysis Time-series analysis Statistical Theory and Methods Linear Models and Regression Time Series Analysis Estadística Anàlisi de regressió Anàlisi de sèries temporals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819972579
9819972574 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Advanced Concepts in Regression -- 2. Index Numbers -- 3. Time Series -- 4. Vital Statistics. |
| Record Nr. | UNINA-9910857789503321 |
|
Prasad Sahana
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Shrinkage and Penalized Estimation Strategies : Honoring the Contributions of Professor A. K. Md. Ehsanes Saleh / / edited by Mohammad Arashi, Mina Norouzirad
| Advances in Shrinkage and Penalized Estimation Strategies : Honoring the Contributions of Professor A. K. Md. Ehsanes Saleh / / edited by Mohammad Arashi, Mina Norouzirad |
| Autore | Arashi Mohammad |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (1067 pages) |
| Disciplina | 570.15195 |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Biometry
Regression analysis Mathematical statistics Biostatistics Linear Models and Regression Parametric Inference |
| ISBN | 3-031-94050-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Shrinkage Estimation Strategies -- Chapter 1 Restricted Liu-Type Regression Estimators in Linear Regression Model -- Chapter 2 Shrinkage Strategies for Right-Censored Bell Regression Model with Application -- Chapter 3 On a Class of Shrinkage Estimators of Normal Mean in High-dimensional Data with Unknown Covariance -- Chapter 4 Some Stein-rules Methods in Tensor Regression Model with High-Dimensional Data -- Chapter 5 Some Implications of Preliminary-Test Estimation in the Context of Size-Biased Sampling -- Chapter 6 Study the Performance of New Shrinkage Estimators under the Balanced Loss Function -- Chapter 7 Shrinkage Estimators of the Location Parameter Under Modified Balanced Loss Functions -- Chapter 8 Shrinkage Strategies and Superefficiency -- Chapter 9 Shrinkage Estimation of Restricted Mean Vector Under Balanced Loss with Application inWavelet Denoising -- Chapter 10 On Minimaxity of Shrinkage Estimators Under Concave Loss -- Part II Penalized Estimation and Variable Selection -- Chapter 11 Improved LASSO Estimator in Semiparametric Linear Measurement Error Models -- Chapter 12 Weighted-Average Least Squares Estimation of Panel Data Models -- Chapter 13 Performance of Some Test Statistics for Testing the Regression Coefficients for the One and Two Parameters Multicollinear Gaussian Multiple Linear Regression Models: An Empirical Comparison -- Chapter 14 Ineffectiveness of Model Selection via t-Test in Regression with Collinearity -- Chapter 15 A New Ridge-Based Biased Prediction Technique in Linear Mixed Models -- Chapter 16 L-Estimation of Location: Shrinkage and Selection -- Chapter 17 Variable Selection in Regression Models with Dependent and Asymmetrically Distributed Error Term -- Part III Robust Estimation and Nonparametrics Methods -- Chapter 18 Shrinkage Estimator for Spatial Autoregressive Model with Endogenous Covariates -- Chapter 19 Regularization of Robust Neural Networks: Bayesian Connections and Outlier Detection -- Chapter 20 Estimating Finite Mixture Models Using Component Self-Paced Learning -- Chapter 21 Shrinkage Estimation in Generalized CIR Processes with Change-point -- Chapter 22 Estimating and Pretesting in Additive Censored Models -- Chapter 23 Confidence Interval for a Univariate Normal Mean Based on a Pretest Estimator -- Chapter 24 Prediction of Interruptions in Energy Supply: A Machine Learning Study with Post-Shrinkage Modeling. |
| Record Nr. | UNINA-9911066099903321 |
|
Arashi Mohammad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge
| Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge |
| Autore | Birkes David |
| Pubbl/distr/stampa | New York, : John Wiley, 1993 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
519.5/36
519.536 |
| Altri autori (Persone) | DodgeYadolah <1944-> |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Regression analysis
Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-29481-8
9786613294814 1-118-15023-6 1-118-15024-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Alternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression
3.3 Estimating the Regression Line3.4 Testing β = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing βq + 1 = · · · = βp = 0; 3.10 Testing β3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing β = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients 4.7 Testing βq + 1 = · · · = βp = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing β = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing βq + 1 = · · · = βp = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing β = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients 6.7 Testing βq + 1 = · · · = βp = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing β = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing βq + 1 = · · · = βp = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization 8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index |
| Record Nr. | UNINA-9910139573103321 |
|
Birkes David
|
||
| New York, : John Wiley, 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge
| Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge |
| Autore | Birkes David |
| Pubbl/distr/stampa | New York, : John Wiley, 1993 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
519.5/36
519.536 |
| Altri autori (Persone) | DodgeYadolah <1944-> |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Regression analysis
Multivariate analysis |
| ISBN |
1-283-29481-8
9786613294814 1-118-15023-6 1-118-15024-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Alternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression
3.3 Estimating the Regression Line3.4 Testing β = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing βq + 1 = · · · = βp = 0; 3.10 Testing β3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing β = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients 4.7 Testing βq + 1 = · · · = βp = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing β = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing βq + 1 = · · · = βp = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing β = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients 6.7 Testing βq + 1 = · · · = βp = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing β = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing βq + 1 = · · · = βp = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization 8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index |
| Record Nr. | UNISA-996218078503316 |
|
Birkes David
|
||
| New York, : John Wiley, 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge
| Alternative methods of regression [[electronic resource] /] / David Birkes, Yadolah Dodge |
| Autore | Birkes David |
| Pubbl/distr/stampa | New York, : John Wiley, 1993 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
519.5/36
519.536 |
| Altri autori (Persone) | DodgeYadolah <1944-> |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Regression analysis
Multivariate analysis |
| ISBN |
1-283-29481-8
9786613294814 1-118-15023-6 1-118-15024-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Alternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression
3.3 Estimating the Regression Line3.4 Testing β = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing βq + 1 = · · · = βp = 0; 3.10 Testing β3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing β = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients 4.7 Testing βq + 1 = · · · = βp = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing β = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing βq + 1 = · · · = βp = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing β = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients 6.7 Testing βq + 1 = · · · = βp = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing β = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing βq + 1 = · · · = βp = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization 8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index |
| Record Nr. | UNINA-9910831025803321 |
|
Birkes David
|
||
| New York, : John Wiley, 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Alternative methods of regression / / David Birkes, Yadolah Dodge
| Alternative methods of regression / / David Birkes, Yadolah Dodge |
| Autore | Birkes David |
| Pubbl/distr/stampa | New York, : John Wiley, 1993 |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
519.5/36
519.536 |
| Altri autori (Persone) | DodgeYadolah <1944-> |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico |
Regression analysis
Multivariate analysis |
| ISBN |
9786613294814
9781283294812 1283294818 9781118150238 1118150236 9781118150245 1118150244 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Alternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression
3.3 Estimating the Regression Line3.4 Testing β = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing βq + 1 = · · · = βp = 0; 3.10 Testing β3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing β = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients 4.7 Testing βq + 1 = · · · = βp = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing β = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing βq + 1 = · · · = βp = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing β = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients 6.7 Testing βq + 1 = · · · = βp = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing β = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing βq + 1 = · · · = βp = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization 8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index |
| Record Nr. | UNINA-9911020347703321 |
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Birkes David
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| New York, : John Wiley, 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
-
Regression analysis
(332)
- Multivariate analysis (25)
- Linear Models and Regression (23)
- Statistics (17)
- Time-series analysis (16)