33 recherche sur le mot-clé 'Data analysis'   

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

Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation / Mark Gardener (2017)  

Public ISBD Titre : Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation Type de document : livre Auteurs : Mark Gardener, Auteur Mention d'édition : 2nd ed. Editeur : Exeter : Pelagic Publishing Année de publication : 2017 Collection : Data in the wild series Importance : 404 p. ISBN/ISSN/EAN : 978-1-78427-139-8 Prix : 41.21 EUR Langues : Anglais (eng) Mots-clés : Statistical methods  Data analysis  R (Computer program language)  Microsoft Excel (Computer file)  Computer software  Research  Ecology En ligne : https://pelagicpublishing.com/ Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation [livre] / Mark Gardener, Auteur  . -  2nd ed. . - Exeter : Pelagic Publishing, 2017 . - 404 p.. - (Data in the wild series) . ISBN : 978-1-78427-139-8 : 41.21 EUR Langues : Anglais (eng) Mots-clés : Statistical methods  Data analysis  R (Computer program language)  Microsoft Excel (Computer file)  Computer software  Research  Ecology En ligne : https://pelagicpublishing.com/

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69435	GAR_11_69435	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

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

Multivariate analysis of ecological data using CANOCO / Leps, J. (2003)  

Public ISBD Titre : Multivariate analysis of ecological data using CANOCO Type de document : livre Auteurs : Leps, J., Auteur ; Smilauer, P., Auteur Mention d'édition : 1st ed. Editeur : Cambridge : Cambridge University Press Année de publication : 2003 Importance : 269 p. ISBN/ISSN/EAN : 978-0-521-89108-0 Note générale : 2 ex. Langues : Anglais (eng) Mots-clés : Case studies  Data analysis  Ecology  Multivariate analysis  Statistical methods Résumé : This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website. [Résumé éditeur] En ligne : http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521814096 Multivariate analysis of ecological data using CANOCO [livre] / Leps, J., Auteur ; Smilauer, P., Auteur  . -  1st ed. . - Cambridge : Cambridge University Press, 2003 . - 269 p. ISBN : 978-0-521-89108-0 2 ex. Langues : Anglais (eng) Mots-clés : Case studies  Data analysis  Ecology  Multivariate analysis  Statistical methods Résumé : This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website. [Résumé éditeur] En ligne : http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521814096

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67172	LEP_11_67172	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043
67752	LEP_11_67752	Livre	Salle des ouvrages	11_Mathématiques	Disponible

New approaches in classification and data analysis / Diday, E.(Ed.) ; Lechevallier, Y.(Ed) ; SCHADER, M.(Ed.) ; Bertrand, P.(Ed.) ; Burtschy, B.(Ed.) (1995)

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Counting processes and survival analysis / Fleming, T.R. ; Harrington, D.P. (2005)  

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Principal component analysis / Jolliffe, I.T. (2002)  

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The BUGS book: a practical introduction to Bayesian analysis / Lunn, David (2013)  

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Models for ecological data: an introduction / Clark, J.S. (2007)

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