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Auteur Daniel Zelterman |
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Advanced log-linear models using SAS / Daniel Zelterman / Cary, NC : SAS Publishing (2002)
Titre : Advanced log-linear models using SAS Type de document : texte imprimé Auteurs : Daniel Zelterman Editeur : Cary, NC : SAS Publishing Année de publication : 2002 Importance : IV-189 p. Présentation : fig. Format : 28 cm ISBN/ISSN/EAN : 978-1-59047-080-0 Langues originales : Anglais (eng) Descripteurs : Analyse des données , Distribution statistique , Estimation (Théorie) , Logiciel statistique SAS , Logiciel statistique SAS, SPAD, SPSS, R, STATA, STATlab, TIMElab, Modèle linéaire , Modèle log-linéaire , Régression , Statistique mathématique
STATGRAPHICS, SYSTAT, STATISTICA, BMDP...Index. décimale : 87 Logiciels statistiques Note sur les bibliographies ou index : Bibliogr. p. [183]-184. Index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=46225 Advanced log-linear models using SAS [texte imprimé] / Daniel Zelterman . - Cary, NC : SAS Publishing, 2002 . - IV-189 p. : fig. ; 28 cm.
ISBN : 978-1-59047-080-0
Langues originales : Anglais (eng)
Descripteurs : Analyse des données , Distribution statistique , Estimation (Théorie) , Logiciel statistique SAS , Logiciel statistique SAS, SPAD, SPSS, R, STATA, STATlab, TIMElab, Modèle linéaire , Modèle log-linéaire , Régression , Statistique mathématique
STATGRAPHICS, SYSTAT, STATISTICA, BMDP...Index. décimale : 87 Logiciels statistiques Note sur les bibliographies ou index : Bibliogr. p. [183]-184. Index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=46225 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 00003002620 87 ZEL Ouvrage ENSAE 8. Informatique - Traitement de l'information Disponible Applied linear models with SAS / Daniel Zelterman / Cambridge (GBR) ; West Nyack, NY : CUP. Cambridge University Press (2010)
Titre : Applied linear models with SAS Type de document : texte imprimé Auteurs : Daniel Zelterman Editeur : Cambridge (GBR) ; West Nyack, NY : CUP. Cambridge University Press Année de publication : 2010 Importance : XIII-273 p. Présentation : ill. Format : 27 cm ISBN/ISSN/EAN : 978-0-521-76159-8 Note générale : Bibliogr. p. 259-261. Index Langues : Anglais (eng) Descripteurs : Logiciel statistique SAS , Logiciel statistique SAS, SPAD, SPSS, R, STATA, STATlab, TIMElab, Régression
STATGRAPHICS, SYSTAT, STATISTICA, BMDP...Tags : Linear models (Statistics) Index. décimale : 87 Logiciels statistiques En ligne : http://www.cambridge.org/fr/knowledge/isbn/item6026642/Applied%20Linear%20Models [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=91824 Applied linear models with SAS [texte imprimé] / Daniel Zelterman . - Cambridge (GBR) ; West Nyack, NY : CUP. Cambridge University Press, 2010 . - XIII-273 p. : ill. ; 27 cm.
ISBN : 978-0-521-76159-8
Bibliogr. p. 259-261. Index
Langues : Anglais (eng)
Descripteurs : Logiciel statistique SAS , Logiciel statistique SAS, SPAD, SPSS, R, STATA, STATlab, TIMElab, Régression
STATGRAPHICS, SYSTAT, STATISTICA, BMDP...Tags : Linear models (Statistics) Index. décimale : 87 Logiciels statistiques En ligne : http://www.cambridge.org/fr/knowledge/isbn/item6026642/Applied%20Linear%20Models [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=91824 Réservation
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Code-barres Cote Support Localisation Section Disponibilité I000942 872 ZELT Ouvrage Ensai 8. Informatique - Traitement de l'information Disponible Applied Multivariate Statistics with R / Daniel Zelterman / Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer (2015)
Titre : Applied Multivariate Statistics with R Type de document : document électronique Auteurs : Daniel Zelterman ; SpringerLink (Online service) Editeur : Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer Année de publication : 2015 Collection : Statistics for Biology and Health, ISSN 1431-8776 Importance : XVI, 393 p. 121 illus., 108 illus. in color Présentation : online resource ISBN/ISSN/EAN : 978-3-319-14093-3 Langues : Anglais (eng) Descripteurs : Échantillonnage Tags : Statistics Epidemiology Bioinformatics Biological models Statistical methods Statistics for Life Sciences Medicine Health Sciences Biostatistics Systems Biology Résumé : This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. Note de contenu : Introduction.- Elements of R -- Graphical Displays -- Basic Linear Algebra -- The Univariate Normal Distribution -- Bivariate Normal Distribution -- Multivariate Normal Distribution -- Factor Methods -- Multivariate Linear Regression -- Discrimination and Classification -- Clustering -- Time Series Models -- Other Useful Methods -- References -- Appendix -- Selected Solutions -- Index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=116989 Applied Multivariate Statistics with R [document électronique] / Daniel Zelterman ; SpringerLink (Online service) . - Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer, 2015 . - XVI, 393 p. 121 illus., 108 illus. in color : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-3-319-14093-3
Langues : Anglais (eng)
Descripteurs : Échantillonnage Tags : Statistics Epidemiology Bioinformatics Biological models Statistical methods Statistics for Life Sciences Medicine Health Sciences Biostatistics Systems Biology Résumé : This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. Note de contenu : Introduction.- Elements of R -- Graphical Displays -- Basic Linear Algebra -- The Univariate Normal Distribution -- Bivariate Normal Distribution -- Multivariate Normal Distribution -- Factor Methods -- Multivariate Linear Regression -- Discrimination and Classification -- Clustering -- Time Series Models -- Other Useful Methods -- References -- Appendix -- Selected Solutions -- Index Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=116989 Applied Multivariate Statistics with R / Daniel Zelterman / Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer (2022)
Titre : Applied Multivariate Statistics with R Type de document : document électronique Auteurs : Daniel Zelterman, ; SpringerLink (Online service) Editeur : Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer Année de publication : 2022 Collection : Statistics for Biology and Health, ISSN 1431-8776 Importance : XIX, 463 p. 172 illus., 158 illus. in color Présentation : online resource ISBN/ISSN/EAN : 978-3-031-13005-2 Langues : Anglais (eng) Tags : Biometry Bioinformatics Epidemiology Biostatistics Bioinformatics Epidemiology Résumé : Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work Note de contenu : Chapter 1. Introduction -- Chapter 2. Elements of R -- Chapter 3. Graphical Displays -- Chapter 4. Basic Linear Algebra -- Chapter 5. The Univariate Normal Distribution -- Chapter 6. Bivariate Normal Distribution -- Chapter 7. Multivariate Normal Distribution -- Chapter 8. Factor Methods -- Chapter 9. Multivariate Linear Regression -- Chapter 10. Discrimination and Classification -- Chapter 11. Clustering Methods -- Chapter 12. Basic Models for Longitudinal Data -- Chapter 13. Time Series Models -- Chapter 14. Other Useful Methods Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=174868 Applied Multivariate Statistics with R [document électronique] / Daniel Zelterman, ; SpringerLink (Online service) . - Berlin ; Heidelberg (DEU) ; New York ; Bâle (CHE) : Springer, 2022 . - XIX, 463 p. 172 illus., 158 illus. in color : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-3-031-13005-2
Langues : Anglais (eng)
Tags : Biometry Bioinformatics Epidemiology Biostatistics Bioinformatics Epidemiology Résumé : Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work Note de contenu : Chapter 1. Introduction -- Chapter 2. Elements of R -- Chapter 3. Graphical Displays -- Chapter 4. Basic Linear Algebra -- Chapter 5. The Univariate Normal Distribution -- Chapter 6. Bivariate Normal Distribution -- Chapter 7. Multivariate Normal Distribution -- Chapter 8. Factor Methods -- Chapter 9. Multivariate Linear Regression -- Chapter 10. Discrimination and Classification -- Chapter 11. Clustering Methods -- Chapter 12. Basic Models for Longitudinal Data -- Chapter 13. Time Series Models -- Chapter 14. Other Useful Methods Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=174868 Discrete distributions / Daniel Zelterman / Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons (2004)
Titre : Discrete distributions : applications in the health sciences Type de document : texte imprimé Auteurs : Daniel Zelterman Editeur : Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons Année de publication : 2004 Collection : Wiley series in probability and statistics, ISSN 1940-6517 Importance : XIX-277 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-470-86888-1 Note générale : Bibliogr. p. 267-272. Index Langues : Anglais (eng) Descripteurs : Probabilités Tags : Distribution Medical sciences Mathematics Mathematical models Medicine Index. décimale : 161 Théorie des probabilités Résumé : It describes a number of new discrete distributions that arise in the statistical examination of real examples. Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=77662 Discrete distributions : applications in the health sciences [texte imprimé] / Daniel Zelterman . - Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons, 2004 . - XIX-277 p. : ill. ; 25 cm. - (Wiley series in probability and statistics, ISSN 1940-6517) .
ISBN : 978-0-470-86888-1
Bibliogr. p. 267-272. Index
Langues : Anglais (eng)
Descripteurs : Probabilités Tags : Distribution Medical sciences Mathematics Mathematical models Medicine Index. décimale : 161 Théorie des probabilités Résumé : It describes a number of new discrete distributions that arise in the statistical examination of real examples. Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=77662 Réservation
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Code-barres Cote Support Localisation Section Disponibilité I005152 161 ZELT Ouvrage Ensai 1. Mathématiques Disponible PermalinkRegression for health and social science / Daniel Zelterman / Cambridge (GBR) ; West Nyack, NY : CUP. Cambridge University Press (2022)
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