Chapman und Hall/CRC Texte in Statistical Science Ser.: Computergestützt...-

Ursprünglicher Text
Chapman and Hall/CRC Texts in Statistical Science Ser.: Computer-Aided...
7588karl
(49)
Angemeldet als privater Verkäufer
Verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, finden daher keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe. Mehr erfahren
Mehr Artikel des Verkäufers
Verkäufer kontaktieren
US $25,00
Ca.EUR 21,47
oder Preisvorschlag
Artikelzustand:
Neu
Versand:
US $5,22 (ca. EUR 4,48) USPS Media MailTM.
Standort: Denver, Colorado, USA
Lieferung:
Lieferung zwischen Fr, 24. Okt und Do, 30. Okt nach 94104 bei heutigem Zahlungseingang
Wir wenden ein spezielles Verfahren zur Einschätzung des Liefertermins an – in diese Schätzung fließen Faktoren wie die Entfernung des Käufers zum Artikelstandort, der gewählte Versandservice, die bisher versandten Artikel des Verkäufers und weitere ein. Insbesondere während saisonaler Spitzenzeiten können die Lieferzeiten abweichen.
Rücknahme:
Keine Rücknahme.
Zahlungen:
   Diners Club 

Sicher einkaufen

eBay-Käuferschutz
Geld zurück, wenn etwas mit diesem Artikel nicht stimmt. Mehr erfahreneBay-Käuferschutz - wird in neuem Fenster oder Tab geöffnet

  • Gratis Rückversand im Inland
  • Punkte für jeden Kauf und Verkauf
  • Exklusive Plus-Deals
Mehr erfahren- eBay Plus - wird in neuem Fenster oder Tab geöffnet
Der Verkäufer ist für dieses Angebot verantwortlich.
eBay-Artikelnr.:116179627878
Zuletzt aktualisiert am 19. Okt. 2025 18:56:13 MESZAlle Änderungen ansehenAlle Änderungen ansehen

Artikelmerkmale

Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
ISBN
9781439816806
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1439816808
ISBN-13
9781439816806
eBay Product ID (ePID)
99649697

Product Key Features

Number of Pages
537 Pages
Language
English
Publication Name
Computer-Aided Multivariate Analysis
Publication Year
2011
Subject
Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Type
Textbook
Subject Area
Mathematics
Author
Susanne May, Virginia A. Clark, Robin Donatello, Abdelmonem Afifi
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
31.3 Oz
Item Length
9.3 in
Item Width
6.5 in

Additional Product Features

Edition Number
5
Intended Audience
College Audience
LCCN
2011-029863
Reviews
I found the text enjoyable and easy to read. The authors provide a sufficient description of all the methodology for practical use. Each chapter includes at least one real world dataset analysis and the software commands summary tables included at the end of every chapter should be particularly helpful to a practitioner of statistics. e I would recommend the text for practitioners of statistics looking for a handy reference, particularly those performing basic analysis in the health sciences. e"Thomas J. Fisher, Journal of Biopharmaceutical Statistics, Issue 6, 2012 Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate methodethis was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. e"Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library e it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. e"Zentralblatt MATH 105 This is a text for a broad spectrum of researchers e who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. e"Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. e"Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005, "First of all, it is very easy to read. ... The authors manage to introduce and (at least partially) explain even quite complex concepts, e.g. eigenvalues, in an easy and pedagogical way that I suppose is attractive to readers without deeper statistical knowledge. The text is also sprinkled with references for those who want to probe deeper into a certain topic. Secondly, I personally find the book's emphasis on practical data handling very appealing. ... Thirdly, the book gives very nice coverage of regression analysis. ... this is a nicely written book that gives a good overview of a large number of multivariate techniques and also tries to give the reader practical advice on how to perform statistical analyses." --Australian & New Zealand Journal of Statistics, 56(4), 2014 "I found the text enjoyable and easy to read. The authors provide a sufficient description of all the methodology for practical use. Each chapter includes at least one real world dataset analysis and the software commands summary tables included at the end of every chapter should be particularly helpful to a practitioner of statistics. ... I would recommend the text for practitioners of statistics looking for a handy reference, particularly those performing basic analysis in the health sciences." --Thomas J. Fisher, Journal of Biopharmaceutical Statistics, Issue 6, 2012 Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate method...this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. --Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library ... it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. --Zentralblatt MATH105 This is a text for a broad spectrum of researchers ... who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. --Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. --Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005, I found the text enjoyable and easy to read. The authors provide a sufficient description of all the methodology for practical use. Each chapter includes at least one real world dataset analysis and the software commands summary tables included at the end of every chapter should be particularly helpful to a practitioner of statistics. 'e¦ I would recommend the text for practitioners of statistics looking for a handy reference, particularly those performing basic analysis in the health sciences. 'e"Thomas J. Fisher, Journal of Biopharmaceutical Statistics, Issue 6, 2012 Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate method'e¦this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. 'e"Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library 'e¦ it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. 'e"Zentralblatt MATH 105 This is a text for a broad spectrum of researchers 'e¦ who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. 'e"Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. 'e"Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005, Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate method…this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. -Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library … it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. -Zentralblatt MATH105 This is a text for a broad spectrum of researchers … who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. -Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. -Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005, I found the text enjoyable and easy to read. The authors provide a sufficient description of all the methodology for practical use. Each chapter includes at least one real world dataset analysis and the software commands summary tables included at the end of every chapter should be particularly helpful to a practitioner of statistics. … I would recommend the text for practitioners of statistics looking for a handy reference, particularly those performing basic analysis in the health sciences. -Thomas J. Fisher, Journal of Biopharmaceutical Statistics, Issue 6, 2012 Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate method…this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. -Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library … it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. -Zentralblatt MATH105 This is a text for a broad spectrum of researchers … who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. -Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. -Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005, Praise for Previous Editions For the past 20 years, whenever I had an occasion to review a multivariate method this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. -Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. -Zentralblatt MATH105 This is a text for a broad spectrum of researchers .who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. -Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. -Pat Altham, Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge, UK, Statistics in Medicine, 2005, I found the text enjoyable and easy to read. The authors provide a sufficient description of all the methodology for practical use. Each chapter includes at least one real world dataset analysis and the software commands summary tables included at the end of every chapter should be particularly helpful to a practitioner of statistics. ... I would recommend the text for practitioners of statistics looking for a handy reference, particularly those performing basic analysis in the health sciences. --Thomas J. Fisher, Journal of Biopharmaceutical Statistics, Issue 6, 2012 Praise for Previous Editions: For the past 20 years, whenever I had an occasion to review a multivariate method...this was the book that I grabbed first. These books kept the mathematical content to the minimally necessary material and used a wealth of nice examples. One of its attractions is that it is a practical text that works well with nonstatisticians who have had a decent statistics course. It also continues to be an excellent book for the statistician's bookshelf. --Technometrics, November 2004 This book is an excellent presentation of computer-aided multivariate analysis. I believe that it will be a very useful addition to any scholarly library ... it provides a comprehensive introduction to available techniques for analyzing data of this form, written in a style that should appeal to non-specialists as well as to statisticians. --Zentralblatt MATH 105 This is a text for a broad spectrum of researchers ... who may find it very useful as it stresses the importance of understanding the concepts and methods through useful real life illustrations. --Journal of the RSS, Vol. 168, 2005 A key feature of this book is that it can be used in conjunction with any or all of the following very well-known software tools: S-Plus, SAS, SPSS, STATA, and STATISTICA. --Pat Altham, University of Cambridge, UK, Statistics in Medicine, 2005
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/35
Edition Description
Revised edition,New Edition
Synopsis
This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis. New to the Fifth Edition Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples Reorganization of the chapter on data analysis preparation to reflect current software packages Use of R statistical software Updated and reorganized references and summary tables Additional end-of-chapter problems and data sets The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses. While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book¿s web page and CRC Press Online., This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis. New to the Fifth Edition Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples Reorganization of the chapter on data analysis preparation to reflect current software packages Use of R statistical software Updated and reorganized references and summary tables Additional end-of-chapter problems and data sets The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses. While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book's web page and CRC Press Online.
LC Classification Number
QA278

Artikelbeschreibung des Verkäufers

Info zu diesem Verkäufer

7588karl

100% positive Bewertungen•57 Artikel verkauft

Mitglied seit Jan 2005
Antwortet meist innerhalb 12 Stunden
Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe. Mehr erfahrenMehr erfahren
Mehr Artikel des VerkäufersKontakt

Verkäuferbewertungen (38)

Alle Bewertungenselected
Positiv
Neutral
Negativ
Alle Bewertungen ansehen

Noch mehr entdecken: