Regression and other stories / Gelman, A. (2021)  

Public ISBD Titre : Regression and other stories Type de document : livre Auteurs : Gelman, A., Auteur ; Hill, J., Auteur ; Vehtari, A., Auteur Mention d'édition : 1st ed., reprinted Editeur : Cambridge, UK : Cambridge University Press Année de publication : 2021 Collection : Analytical methods for social research Importance : 534 p. ISBN/ISSN/EAN : ‎978-1-107-67651-0 Prix : 40.84 EUR Note générale : First ed. 2021, reprinted 2021; DOI:10.1017/9781139161879; Home page for the book including the code and data for the examples : https://avehtari.github.io/ROS-Examples/ Langues : Anglais (eng) Mots-clés : Statistical methods  Computer programming Résumé : L'éditeur indique : Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting. En ligne : https://doi.org/10.1017/9781139161879 Regression and other stories [livre] / Gelman, A., Auteur ; Hill, J., Auteur ; Vehtari, A., Auteur  . -  1st ed., reprinted . - Cambridge, UK : Cambridge University Press, 2021 . - 534 p.. - (Analytical methods for social research) . ISSN : ‎978-1-107-67651-0 : 40.84 EUR First ed. 2021, reprinted 2021; DOI:10.1017/9781139161879; Home page for the book including the code and data for the examples : https://avehtari.github.io/ROS-Examples/ Langues : Anglais (eng) Mots-clés : Statistical methods  Computer programming Résumé : L'éditeur indique : Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting. En ligne : https://doi.org/10.1017/9781139161879

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69833	GEL_11_69833	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Bayesian data analysis / Gelman, A. (2014)

Public ISBD Titre : Bayesian data analysis Type de document : livre Auteurs : Gelman, A., Auteur ; Carlin, J.B., Auteur ; Stern, H.S., Auteur ; Dunson, D.B., Auteur ; Vehtari, A., Auteur ; Rubin, D.B., Auteur Mention d'édition : 3rd ed. Editeur : Boca Raton, Florida : CRC Press Année de publication : 2014 Collection : Texts in statistical science Importance : 661 p. ISBN/ISSN/EAN : 978-1-4398-4095-5 Note générale : Voir aussi la 2ème édition de 2004 à la cote 68206/11 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Data analysis  Statistical methods Résumé : "Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book" Bayesian data analysis [livre] / Gelman, A., Auteur ; Carlin, J.B., Auteur ; Stern, H.S., Auteur ; Dunson, D.B., Auteur ; Vehtari, A., Auteur ; Rubin, D.B., Auteur  . -  3rd ed. . - Boca Raton, Florida : CRC Press, 2014 . - 661 p.. - (Texts in statistical science) . ISBN : 978-1-4398-4095-5 Voir aussi la 2ème édition de 2004 à la cote 68206/11 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Data analysis  Statistical methods Résumé : "Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book"

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69295	GEL_11_69295	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Data analysis using regression and multilevel/hierarchical models / Gelman, A. ; Hill, J. (2007)  

Public ISBD Titre : Data analysis using regression and multilevel/hierarchical models Type de document : livre Auteurs : Gelman, A. ; Hill, J. Mention d'édition : 1st ed. Editeur : Cambridge : Cambridge University Press Année de publication : 2007 Collection : Analytical methods for social research Importance : 625 p. ISBN/ISSN/EAN : 978-0-521-68689-1 Langues : Anglais (eng) Mots-clés : Data analysis  Hierarchical model  Multilevel model  Regression analysis En ligne : http://books.google.fr/books?id=c9xLKzZWoZ4C&dq=data+analysis+using+regression+a [...] Data analysis using regression and multilevel/hierarchical models [livre] / Gelman, A. ; Hill, J.  . -  1st ed. . - Cambridge : Cambridge University Press, 2007 . - 625 p.. - (Analytical methods for social research) . ISBN : 978-0-521-68689-1 Langues : Anglais (eng) Mots-clés : Data analysis  Hierarchical model  Multilevel model  Regression analysis En ligne : http://books.google.fr/books?id=c9xLKzZWoZ4C&dq=data+analysis+using+regression+a [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68205	GEL_11_68205	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Bayesian data analysis / Gelman, A. ; Carlin, J.B. ; Stern, H.S. ; Rubin, D.B. (2004)  

Public ISBD Titre : Bayesian data analysis Type de document : livre Auteurs : Gelman, A. ; Carlin, J.B. ; Stern, H.S. ; Rubin, D.B. Mention d'édition : 02 éd. Editeur : Boca Raton, Florida : Chapman & Hall/CRC Année de publication : 2004 Collection : Texts in statistical science Importance : 668 p. ISBN/ISSN/EAN : 978-1-58488-388-3 Note générale : Voir aussi la 3ème édition de 2014 à la cote 69295/11 Langues : Anglais (eng) Mots-clés : Bayesian statistics  Data analysis  Statistical methods En ligne : http://books.google.fr/books?id=TNYhnkXQSjAC&dq=bayesian+data+analysis&pg=PP1&ot [...] Bayesian data analysis [livre] / Gelman, A. ; Carlin, J.B. ; Stern, H.S. ; Rubin, D.B.  . -  02 éd. . - Boca Raton, Florida : Chapman & Hall/CRC, 2004 . - 668 p.. - (Texts in statistical science) . ISBN : 978-1-58488-388-3 Voir aussi la 3ème édition de 2014 à la cote 69295/11 Langues : Anglais (eng) Mots-clés : Bayesian statistics  Data analysis  Statistical methods En ligne : http://books.google.fr/books?id=TNYhnkXQSjAC&dq=bayesian+data+analysis&pg=PP1&ot [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68206	GEL_11_68206	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Teaching statistics: a bag of tricks / Gelman, A. ; Nolan, D. (2002)  

Public ISBD Titre : Teaching statistics: a bag of tricks Type de document : livre Auteurs : Gelman, A. ; Nolan, D. Mention d'édition : 1st ed. Editeur : Oxford, UK : Oxford University Press Année de publication : 2002 Importance : 299 p. ISBN/ISSN/EAN : 978-0-19-857224-4 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Data analysis  Data collection  Decision theory  Linear regression  Statistical methods  Statistics Résumé : Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling. [Résumé éditeur] En ligne : http://books.google.fr/books?id=FMX2FPHkG5gC&dq=teaching+statistics+a+bag+of+tri [...] Teaching statistics: a bag of tricks [livre] / Gelman, A. ; Nolan, D.  . -  1st ed. . - Oxford, UK : Oxford University Press, 2002 . - 299 p. ISBN : 978-0-19-857224-4 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Data analysis  Data collection  Decision theory  Linear regression  Statistical methods  Statistics Résumé : Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling. [Résumé éditeur] En ligne : http://books.google.fr/books?id=FMX2FPHkG5gC&dq=teaching+statistics+a+bag+of+tri [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68173	GEL_11_68173	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

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