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A Handbook of Statistical Analyses using S-Plus, Second Edition

A Handbook of Statistical Analyses using S-Plus, Second Edition

A Handbook of Statistical Analyses using S-Plus, Second Edition
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A Handbook of Statistical Analyses using S-Plus, Second Edition Paperback - 2001 - 2nd Edition

by Everitt, Brian S

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Chapman and Hall/CRC, 2001-12-10. paperback. Good. 6x0x9. Clean text
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Details

  • Title A Handbook of Statistical Analyses using S-Plus, Second Edition
  • Author Everitt, Brian S
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Good
  • Pages 254
  • Volumes 1
  • Language ENG
  • Publisher Chapman and Hall/CRC
  • Publication date 2001-12-10
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 250308009
  • ISBN 9781584882800 / 1584882808
  • Weight 0.81 lbs (0.37 kg)
  • Dimensions 9.36 x 6.24 x 0.55 in (23.77 x 15.85 x 1.40 cm)
  • Size 6x0x9
  • Category Computers - Other Applications
  • Library of Congress subjects Mathematical statistics - Data processing
  • Library of Congress Catalogue Number 2001043682
  • Dewey Decimal Code 519.502
  • Quantity available 1

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From the publisher

Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market.

The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows(R) and command-line perspectives and clearly demonstrates how to switch between the two.

This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at http: //www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml

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