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Seller: medimops, Berlin, Germany
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Seller: Anybook.com, Lincoln, United Kingdom
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9781852338824.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R.In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. From the reviews:'This text is much more than just an R/S programming guide. Brian Everitt's expertise in multivariate data analysis shines through brilliantly.' Journal of the American Statistical Association, June 2006.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 82.02
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Add to basketCondition: New. In English.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Springer London, Springer London Okt 2010, 2010
ISBN 10: 1849969442 ISBN 13: 9781849969444
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
£ 57.42
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Add to basketTaschenbuch. Condition: Neu. Neuware -Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R.In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted.Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work.From the reviews:'This text is much more than just an R/S programming guide. Brian Everitt's expertise in multivariate data analysis shines through brilliantly.' Journal of the American Statistical Association, June 2006Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.
Seller: BennettBooksLtd, North Las Vegas, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Add to basketPaperback. Condition: Like New. Like New. book.
Condition: As New. Unread book in perfect condition.
Published by Springer London Okt 2010, 2010
ISBN 10: 1849969442 ISBN 13: 9781849969444
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
£ 33.48
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he's got it right. 236 pp. Englisch.