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Titre : Applied linear regression Type de document : texte imprimé Auteurs : Weisberg , Sanford, Auteur Mention d'édition : 3 éd. Editeur : New York : John Wiley & Sons Année de publication : 2005 Collection : Wiley series in probability and statistics Importance : XVI-310 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-471-66379-9 Note générale : Bibliogr. p. 293-299. Index Langues : Anglais (eng) Mots-clés : Mathématiques régression -- Linéaire appliquée
Applied linear
Linear RegressionIndex. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems. Note de contenu : Sommaire:
1. Scatterplots and Regression.
2. Simple Linear Regression.
3. Multiple Regression.
4. Drawing Conclusions.
5. Weights, Lack of Fit, and More.
6. Polynomials and Factors.
7. Transformations.
8. Regression Diagnostics: Residuals.
9. Outliers and Influence.
10. Variable Selection.
11. Nonlinear Regression.
12. Logistic Regression.
Appendix A.1. Web Site.
A.2. Means and Variances of Random Variables.
A.3. Least Squares for Simple Regression.
A.4. Means and Variances of Least Squares Estimates.
A.5. Estimating E(Y/X) Using a Smoother.
A.6. A Brief Introduction to Matrices and Vectors.
Appendix A.7. Random Vectors.
A.8. Least Squares Using Matrices.
A.9. The QR Factorization.
A.10. Maximum Likelihood Estimates.
A.11. The Box-Cox Method for Transformations.
A.12. Case Deletion in Linear Regression.Applied linear regression [texte imprimé] / Weisberg , Sanford, Auteur . - 3 éd. . - New York : John Wiley & Sons, 2005 . - XVI-310 p. : ill. ; 24 cm. - (Wiley series in probability and statistics) .
ISBN : 978-0-471-66379-9
Bibliogr. p. 293-299. Index
Langues : Anglais (eng)
Mots-clés : Mathématiques régression -- Linéaire appliquée
Applied linear
Linear RegressionIndex. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this Third Edition stresses using graphical methods to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results. This text is an excellent tool for learning how to use linear regression analysis techniques to solve and gain insight into real-life problems. Note de contenu : Sommaire:
1. Scatterplots and Regression.
2. Simple Linear Regression.
3. Multiple Regression.
4. Drawing Conclusions.
5. Weights, Lack of Fit, and More.
6. Polynomials and Factors.
7. Transformations.
8. Regression Diagnostics: Residuals.
9. Outliers and Influence.
10. Variable Selection.
11. Nonlinear Regression.
12. Logistic Regression.
Appendix A.1. Web Site.
A.2. Means and Variances of Random Variables.
A.3. Least Squares for Simple Regression.
A.4. Means and Variances of Least Squares Estimates.
A.5. Estimating E(Y/X) Using a Smoother.
A.6. A Brief Introduction to Matrices and Vectors.
Appendix A.7. Random Vectors.
A.8. Least Squares Using Matrices.
A.9. The QR Factorization.
A.10. Maximum Likelihood Estimates.
A.11. The Box-Cox Method for Transformations.
A.12. Case Deletion in Linear Regression.Réservation
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 048402 519.233.5 WEI Papier Bibliothèque Centrale Mathématiques Disponible
Titre : Experiments : planning, analysis, and parameter design optimization Type de document : texte imprimé Auteurs : Chien-Fu Wu, Auteur ; Michael S. (1955-....) Hamada, Auteur Mention d'édition : 2nd Edition Editeur : New York : John Wiley & Sons Année de publication : 2000 Collection : Wiley series in probability and statistics Importance : XXIX, 716 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-471-69946-0 Langues : Anglais (eng) Mots-clés : Planning -- Analysis -- Parameter design optimization Index. décimale : 519.863 Modèles d'optimisation Résumé : Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors--highly recognized researchers in the field--introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians. Note de contenu : Summary :
1. Basic Concepts for Experimental Design and Introductory Regression Analysis
2. Experiments with a Single Factor
3. Experiments with More Than One Factor
4. Full Factorial Experiments at Two Levels
5. Fractional Factorial Experiments at Two Levels
6. Full Factorial and Fractional Factorial Experiments at Three Levels
7. Other Design and Analysis Techniques for Experiments at More Than Two Levels
8. Nonregular Designs: Construction and Properties.
9. Experiments with Complex Aliasing
10. Response Surface Methodology
11. Introduction to Robust Parameter Design
12. Robust Parameter Design for Signal-Response Systems.13 Experiments for Improving Reliability
14. Analysis of Experiments with Nonnormal DataEn ligne : http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...] Experiments : planning, analysis, and parameter design optimization [texte imprimé] / Chien-Fu Wu, Auteur ; Michael S. (1955-....) Hamada, Auteur . - 2nd Edition . - New York : John Wiley & Sons, 2000 . - XXIX, 716 p. : ill. ; 24 cm. - (Wiley series in probability and statistics) .
ISBN : 978-0-471-69946-0
Langues : Anglais (eng)
Mots-clés : Planning -- Analysis -- Parameter design optimization Index. décimale : 519.863 Modèles d'optimisation Résumé : Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors--highly recognized researchers in the field--introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians. Note de contenu : Summary :
1. Basic Concepts for Experimental Design and Introductory Regression Analysis
2. Experiments with a Single Factor
3. Experiments with More Than One Factor
4. Full Factorial Experiments at Two Levels
5. Fractional Factorial Experiments at Two Levels
6. Full Factorial and Fractional Factorial Experiments at Three Levels
7. Other Design and Analysis Techniques for Experiments at More Than Two Levels
8. Nonregular Designs: Construction and Properties.
9. Experiments with Complex Aliasing
10. Response Surface Methodology
11. Introduction to Robust Parameter Design
12. Robust Parameter Design for Signal-Response Systems.13 Experiments for Improving Reliability
14. Analysis of Experiments with Nonnormal DataEn ligne : http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...] Réservation
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 052667 519.863 WU Papier Bibliothèque Centrale Mathématiques Disponible Consultation sur place
Titre : Introduction to the theory of statics Type de document : texte imprimé Auteurs : Alexander McFarlane Mood, Auteur ; Franklin A. Graybill, Auteur ; Duane C. Boes, Auteur Mention d'édition : 3 éd Editeur : New York : John Wiley & Sons Année de publication : 1974 Collection : Wiley series in probability and statistics Importance : XVI-564 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-07-042864-5 Note générale : Bibliogr. p. [544]-547. Index Langues : Anglais (eng) Mots-clés : Statistique mathématique
Mathematical statisticsIndex. décimale : 519.21 Théorie des probabilités.Processus stochastiques Note de contenu : Sommaire:
1. Probability
2. Random variables, distribution functions, and expectation
3. Special parametric families of univariate distributions
4. Joint and conditional distributions, stochastic independence, more expectation
5. Distributions of functions of random variables
6. Sampling and sampling distributions
7. Parametric point estimation
8. Parametric interval estimation
9. Tests of hypoyheses
10. Linear models
...Introduction to the theory of statics [texte imprimé] / Alexander McFarlane Mood, Auteur ; Franklin A. Graybill, Auteur ; Duane C. Boes, Auteur . - 3 éd . - New York : John Wiley & Sons, 1974 . - XVI-564 p. : ill. ; 24 cm. - (Wiley series in probability and statistics) .
ISBN : 978-0-07-042864-5
Bibliogr. p. [544]-547. Index
Langues : Anglais (eng)
Mots-clés : Statistique mathématique
Mathematical statisticsIndex. décimale : 519.21 Théorie des probabilités.Processus stochastiques Note de contenu : Sommaire:
1. Probability
2. Random variables, distribution functions, and expectation
3. Special parametric families of univariate distributions
4. Joint and conditional distributions, stochastic independence, more expectation
5. Distributions of functions of random variables
6. Sampling and sampling distributions
7. Parametric point estimation
8. Parametric interval estimation
9. Tests of hypoyheses
10. Linear models
...Réservation
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 016025 519.21 MOO Papier Bibliothèque Centrale Mathématiques Disponible Consultation sur place 016028 519.21 MOO Papier Bibliothèque Centrale Mathématiques Disponible En bon état 016027 519.21 MOO Papier Bibliothèque Centrale Mathématiques Disponible En bon état 016026 519.21 MOO Papier Bibliothèque Centrale Mathématiques Disponible En bon état 016029 519.21 MOO Papier Bibliothèque Centrale Mathématiques Disponible En bon état
