519.5 : Statistique mathématique; Statistiques pour ingénieurs

519 Mathématiques appliquées, probabilités (statistiques mathématiques)
519.536 Analyse de la régression

Ouvrages de la bibliothèque en indexation 519.5

An introduction to survival analysis using Stata / Mario Cleves

Public ISBD Titre : An introduction to survival analysis using Stata Type de document : texte imprimé Auteurs : Mario Cleves, Auteur ; William Gould, Auteur ; Yulia Marchenko, Auteur Mention d'édition : 3rd Editeur : Stata press Année de publication : 2016 Importance : xxviii, 412 pages : illustrations ; 24 cm ISBN/ISSN/EAN : 978-1-597-18174-7 Langues : Anglais (eng) Mots-clés : Survival analysis (Biometry)  Stata  Survival Analysis  Models, Econometric  Statistiques  Mode?les e?conome?triques  Analyse de survie (biome?trie) Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuable reference for experienced researchers interested in using Stata to analyze survival data." "The book is written for professional researchers form all disciplines, including biostatistics, epidemiology, public health, medicine, sociology, economics, political science, engineering, and other fields where survival analysis is applicable. Although the book assumes knowledge of statistical principles, basic probability, and working knowledge of Stata, it is practical rather than mathematical in its approach to the subject. The reader of this book will come away not just with understanding of the formulas, but also with intuition of how the various survival analysis estimators work and what information they exploit. The reader will also come away with deeper and more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines." "The third edition has been updated to highlight the new features of Stata 11, in particular, competing-risks analysis and the treatment of missing values via multiple imputation. Among the other additions are new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining predictions and diagnostics after Cox regression. Note de contenu : 1. The problem of survival analysis -- 2. Describing the distribution of failure times -- 3. Hazard models -- 4. Censoring and truncation -- 5. Recording survival data -- 6. Using stset -- 7. After stset -- 8. Nonparametric analysis -- 9. The Cox proportional hazards model -- 10. Model building using stcox -- 11. The Cox model : diagnostics -- 12. Parametric models -- 13. A survey of parametric regression models in Stata -- 14. Postestimation commands for parametric models -- 15. Generalizing the parametric regression model -- 16. Power and sample-size determination for survival analysis -- 17. Competing risks. An introduction to survival analysis using Stata [texte imprimé] / Mario Cleves, Auteur ; William Gould, Auteur ; Yulia Marchenko, Auteur  . -  3rd . - [S.l.] : Stata press, 2016 . - xxviii, 412 pages : illustrations ; 24 cm. ISBN : 978-1-597-18174-7 Langues : Anglais (eng) Mots-clés : Survival analysis (Biometry)  Stata  Survival Analysis  Models, Econometric  Statistiques  Mode?les e?conome?triques  Analyse de survie (biome?trie) Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuable reference for experienced researchers interested in using Stata to analyze survival data." "The book is written for professional researchers form all disciplines, including biostatistics, epidemiology, public health, medicine, sociology, economics, political science, engineering, and other fields where survival analysis is applicable. Although the book assumes knowledge of statistical principles, basic probability, and working knowledge of Stata, it is practical rather than mathematical in its approach to the subject. The reader of this book will come away not just with understanding of the formulas, but also with intuition of how the various survival analysis estimators work and what information they exploit. The reader will also come away with deeper and more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines." "The third edition has been updated to highlight the new features of Stata 11, in particular, competing-risks analysis and the treatment of missing values via multiple imputation. Among the other additions are new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining predictions and diagnostics after Cox regression. Note de contenu : 1. The problem of survival analysis -- 2. Describing the distribution of failure times -- 3. Hazard models -- 4. Censoring and truncation -- 5. Recording survival data -- 6. Using stset -- 7. After stset -- 8. Nonparametric analysis -- 9. The Cox proportional hazards model -- 10. Model building using stcox -- 11. The Cox model : diagnostics -- 12. Parametric models -- 13. A survey of parametric regression models in Stata -- 14. Postestimation commands for parametric models -- 15. Generalizing the parametric regression model -- 16. Power and sample-size determination for survival analysis -- 17. Competing risks.

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Discovering Statistics Using IBM SPSS Statistics / Andy Field

Public ISBD Titre : Discovering Statistics Using IBM SPSS Statistics Type de document : texte imprimé Auteurs : Andy Field, Auteur Mention d'édition : 5th Editeur : SAGE Année de publication : 2018 Importance : xxix, 1070 pages Présentation : ill. en coul. ISBN/ISSN/EAN : 978-1-526-41952-1 Langues : Anglais (eng) Mots-clés : SPSS for Windows  Social sciences  Statistical methods  Computer programs. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Extrait : lire Discovering Statistics Using IBM SPSS Statistics [texte imprimé] / Andy Field, Auteur  . -  5th . - [S.l.] : SAGE, 2018 . - xxix, 1070 pages : ill. en coul. ISBN : 978-1-526-41952-1 Langues : Anglais (eng) Mots-clés : SPSS for Windows  Social sciences  Statistical methods  Computer programs. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Extrait : lire

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Exploratory data analysis / John Wilder Tukey

Public ISBD Titre : Exploratory data analysis Type de document : texte imprimé Auteurs : John Wilder Tukey, Auteur Editeur : ADDISON WESLEY Année de publication : 1977 Collection : Addison-wesley series in behavioral science-quantitative methods Importance : xvi, 688 p. Présentation : graph. ISBN/ISSN/EAN : 978-0-201-07616-5 Langues : Anglais (eng) Catégories : Statistique mathématique Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Note de contenu : 1. Scratching Down Numbers (stem-and-leaf). 2. Schematic Summaries (pictures and numbers). 3. Easy Re-Expression (including well-chosen expression). 4. Plots of Relationship. 5. Straightening Out Plots (using three points). 6. Smoothing Sequences. 7. Parallel and Wandering Schematic Plots. 8. Delineations of Batches and Points. 9. Using Two-Way Analyses. 10. Making Two-Way Analyses. 11. Advanced Fits. 12. Three-Way Fits. 13. Looking in Two or More Batches of Points. 14. Counted Fractions. 15. Better Smoothing. 16. Counts in Bin after Bin. 17. Product Ratio Plots. 18. Shapes of Distribution. 19. Mathematical Distributions. 20. Postscript. Exploratory data analysis [texte imprimé] / John Wilder Tukey, Auteur . - ADDISON WESLEY, 1977 . - xvi, 688 p. : graph.. - (Addison-wesley series in behavioral science-quantitative methods) . ISBN : 978-0-201-07616-5 Langues : Anglais (eng) Catégories : Statistique mathématique Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Note de contenu : 1. Scratching Down Numbers (stem-and-leaf). 2. Schematic Summaries (pictures and numbers). 3. Easy Re-Expression (including well-chosen expression). 4. Plots of Relationship. 5. Straightening Out Plots (using three points). 6. Smoothing Sequences. 7. Parallel and Wandering Schematic Plots. 8. Delineations of Batches and Points. 9. Using Two-Way Analyses. 10. Making Two-Way Analyses. 11. Advanced Fits. 12. Three-Way Fits. 13. Looking in Two or More Batches of Points. 14. Counted Fractions. 15. Better Smoothing. 16. Counts in Bin after Bin. 17. Product Ratio Plots. 18. Shapes of Distribution. 19. Mathematical Distributions. 20. Postscript.

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Goodness-of-fit techniques / Ralph B. D'agostino

Public ISBD Titre : Goodness-of-fit techniques Type de document : texte imprimé Auteurs : Ralph B. D'agostino, Auteur ; Michael A. Stephens, Auteur Editeur : New-York : Dekker M. Année de publication : 1986 Collection : Statistics, textbooks and monographs, num. 68 Importance : xviii, 560 p ISBN/ISSN/EAN : 978-0-8247-7487-5 Langues : Anglais (eng) Catégories : Statistique mathématique Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction, and also collecting methods of testing for specific famous distributions, this usefulreference is the fust comprehensive.review of the extensive literature on the subject. It surveysthe leading methods of testing fit . . provides tables to make the tests available . . assessesthe comparative merits of different test procedures . . and supplies numerical examples to aidin understanding these techniques. Goodness-of-Fit Techniques shows how to apply the techniques . . emphasizes testing for thethree major distributions, normal, exponential, and uniform . . discusses the handling of censoreddata . . and contains over 650 bibliographic citations that cover the field. Illustrated with tables and drawings, this volume is an ideal reference for mathematical andapplied statisticians, and biostatisticians; professionals in applied science fields, including psychologists, biometricians, physicians, and quality control and reliability engineers; advancedundergraduate- and graduate-level courses on goodness-of-fit techniques; and professional seminarsand symposia on applied statistics, quality control, and reliability. Note de contenu : Ch. 1. Overview -- Ch. 2. Graphical Analysis -- Ch. 3. Tests of Chi-Squared Type -- Ch. 4. Tests Based on EDF Statistics -- Ch. 5. Tests based on Regression and Correlation -- Ch. 6. Some Transformation Methods in Goodness-Of-Fit -- Ch. 7. Moment (Square Root b1, b2) Techniques -- Ch. 8. Tests for the Uniform Distribution -- Ch. 9. Tests for the Normal Distribution -- Ch. 10. Tests for the Exponential Distribution -- Ch. 11. Analysis of Data from Censored Samples -- Ch. 12. The Analsis and Detection of Outliers. Goodness-of-fit techniques [texte imprimé] / Ralph B. D'agostino, Auteur ; Michael A. Stephens, Auteur . - Dekker M., 1986 . - xviii, 560 p. - (Statistics, textbooks and monographs,; 68) . ISBN : 978-0-8247-7487-5 Langues : Anglais (eng) Catégories : Statistique mathématique Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction, and also collecting methods of testing for specific famous distributions, this usefulreference is the fust comprehensive.review of the extensive literature on the subject. It surveysthe leading methods of testing fit . . provides tables to make the tests available . . assessesthe comparative merits of different test procedures . . and supplies numerical examples to aidin understanding these techniques. Goodness-of-Fit Techniques shows how to apply the techniques . . emphasizes testing for thethree major distributions, normal, exponential, and uniform . . discusses the handling of censoreddata . . and contains over 650 bibliographic citations that cover the field. Illustrated with tables and drawings, this volume is an ideal reference for mathematical andapplied statisticians, and biostatisticians; professionals in applied science fields, including psychologists, biometricians, physicians, and quality control and reliability engineers; advancedundergraduate- and graduate-level courses on goodness-of-fit techniques; and professional seminarsand symposia on applied statistics, quality control, and reliability. Note de contenu : Ch. 1. Overview -- Ch. 2. Graphical Analysis -- Ch. 3. Tests of Chi-Squared Type -- Ch. 4. Tests Based on EDF Statistics -- Ch. 5. Tests based on Regression and Correlation -- Ch. 6. Some Transformation Methods in Goodness-Of-Fit -- Ch. 7. Moment (Square Root b1, b2) Techniques -- Ch. 8. Tests for the Uniform Distribution -- Ch. 9. Tests for the Normal Distribution -- Ch. 10. Tests for the Exponential Distribution -- Ch. 11. Analysis of Data from Censored Samples -- Ch. 12. The Analsis and Detection of Outliers.

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Multilevel and longitudinal modeling using Stata / Sophia Rabe-Hesketh

Public ISBD Titre : Multilevel and longitudinal modeling using Stata : Volume I : continuous responses Type de document : texte imprimé Auteurs : Sophia Rabe-Hesketh, Auteur ; Anders Skrondal, Auteur Mention d'édition : 3rd Editeur : Stata press Année de publication : 2012 Importance : 2 volumes (xxx, xxiii, 974 pages) : illustrations ; 24 cm ISBN/ISSN/EAN : 978-1-597-18103-7 Langues : Anglais (eng) Mots-clés : Stata. Latent variables. Latent structure analysis. Mathematical statistics -- Data processing. Linear models (Statistics) Multilevel models (Statistics) Me?thodes statistiques. Mode?les mathe?matiques. Donne?es statistiques. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : Multilevel and Longitudinal Modeling Using Stata, Third Edition, discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients nested in hospitals, or employees nested in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels. Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stat, and shows how to interpret the results. Across volume, the 16 chapters and 144 exercises are based on the 110 datasets that span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences, and in applied statistics. Th[e] first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It contains two new chapters on longitudinal data, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12. Following volume I on models for continuous responses, th[e] second volume covers models for all other important response types: binary, ordinal, and nominal (discrete choice) responses; counts; and discrete-time and continuous-time survival (durations). It contains three new chapters, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12 Multilevel and longitudinal modeling using Stata : Volume I : continuous responses [texte imprimé] / Sophia Rabe-Hesketh, Auteur ; Anders Skrondal, Auteur  . -  3rd . - [S.l.] : Stata press, 2012 . - 2 volumes (xxx, xxiii, 974 pages) : illustrations ; 24 cm. ISBN : 978-1-597-18103-7 Langues : Anglais (eng) Mots-clés : Stata. Latent variables. Latent structure analysis. Mathematical statistics -- Data processing. Linear models (Statistics) Multilevel models (Statistics) Me?thodes statistiques. Mode?les mathe?matiques. Donne?es statistiques. Index. décimale : 519.5 Statistique mathématique; Statistiques pour ingénieurs Résumé : Multilevel and Longitudinal Modeling Using Stata, Third Edition, discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients nested in hospitals, or employees nested in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels. Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stat, and shows how to interpret the results. Across volume, the 16 chapters and 144 exercises are based on the 110 datasets that span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences, and in applied statistics. Th[e] first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It contains two new chapters on longitudinal data, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12. Following volume I on models for continuous responses, th[e] second volume covers models for all other important response types: binary, ordinal, and nominal (discrete choice) responses; counts; and discrete-time and continuous-time survival (durations). It contains three new chapters, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12

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11777	519.5 RAB	Livre	A/ En salle - reading room	Documents	Disponible

Multilevel and longitudinal modeling using Stata / Sophia Rabe-Hesketh

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R Cookbook. Proven recipes for data analysis, statistics, and graphics / Paul Teetor

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R graphics cookbook. Practical recipes for visualizing data / Winston Chang

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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie

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