Documents disponibles dans la collection

Introduction to the theory of statics / Alexander McFarlane Mood

Public ISBD 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 : Wiley 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  statistics Index. 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 . - Wiley, 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  statistics Index. 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 ...

Exemplaires

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

Applied linear regression / Weisberg , Sanford

Public ISBD Titre : Applied linear regression Type de document : texte imprimé Auteurs : Weisberg , Sanford, Auteur Mention d'édition : 3 éd. Editeur : New York : Wiley 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  Regression Index. 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. . - Wiley, 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  Regression Index. 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.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
048402	519.233.5 WEI	Papier	Bibliothèque Centrale	Mathématiques	Disponible

Experiments / Jian Fu Shao 

Public ISBD Titre : Experiments : planning, analysis, and parameter design optimization Type de document : texte imprimé Auteurs : Jian Fu Shao, Auteur ; Hamada, Michael S., Auteur Mention d'édition : 2e éd. Editeur : New York : Wiley Année de publication : 2000 Collection : Wiley series in probability and statistics Importance : 716 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-471-69946-0 Langues : Français (fre) Mots-clés : planning  --  analysis  --  parameter  design  optimization Index. décimale : 519.863 Modèles d'optimisation Résumé : Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including: Expected mean squares and sample size determination One-way and two-way ANOVA with random effects Split-plot designs ANOVA treatment of factorial effects Response surface modeling for related factors Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians. Note de contenu : 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 Data. En ligne : http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...] Experiments : planning, analysis, and parameter design optimization [texte imprimé] / Jian Fu Shao, Auteur ; Hamada, Michael S., Auteur  . -  2e éd. . - Wiley, 2000 . - 716 p. : ill. ; 24 cm. - (Wiley series in probability and statistics) . ISBN : 978-0-471-69946-0 Langues : Français (fre) Mots-clés : planning  --  analysis  --  parameter  design  optimization Index. décimale : 519.863 Modèles d'optimisation Résumé : Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including: Expected mean squares and sample size determination One-way and two-way ANOVA with random effects Split-plot designs ANOVA treatment of factorial effects Response surface modeling for related factors Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians. Note de contenu : 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 Data. En ligne : http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...]

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052667	519.863 WU	Papier	Bibliothèque Centrale	Mathématiques	Disponible