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Applied Multivariate Data Analysis, Volume. 2: Categorical and Multivariate Methods

Applied Multivariate Data Analysis, Volume. 2: Categorical and Multivariate Methods

Applied Multivariate Data Analysis, Volume. 2: Categorical and Multivariate
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Applied Multivariate Data Analysis, Volume. 2: Categorical and Multivariate Methods Hardback - 1992

by J. D. Jobson

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Details

  • Title Applied Multivariate Data Analysis, Volume. 2: Categorical and Multivariate Methods
  • Author J. D. Jobson
  • Binding Hardback
  • Edition Corrected
  • Condition New
  • Pages 732
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1992-06-25
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # BIBNNA-205596
  • ISBN 9780387978048 / 0387978046
  • Weight 2.74 lbs (1.24 kg)
  • Dimensions 9.21 x 6.14 x 1.63 in (23.39 x 15.60 x 4.14 cm)
  • Category Mathematics
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 91-221219
  • Dewey Decimal Code 519.535
  • Quantity available 2

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From the publisher

A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals, as well as academic researchers, are now regularly employing techniques that go far beyond the standard two-semester, introductory course in statistics. Even though for this group of users shorl courses in various specialized topics are often available, there is a need to improve the statistics training of future users of statistics while they are still at colleges and universities. In addition, there is a need for a survey reference text for the many practitioners who cannot obtain specialized courses. With the exception of the statistics major, most university students do not have sufficient time in their programs to enroll in a variety of specialized one-semester courses, such as data analysis, linear models, experimental de- sign, multivariate methods, contingency tables, logistic regression, and so on. There is a need for a second survey course that covers a wide variety of these techniques in an integrated fashion. It is also important that this sec- ond course combine an overview of theory with an opportunity to practice, including the use of statistical software and the interpretation of results obtained from real dta.

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The past decade has seen tremendous growth in the availability of both computer hardware and statistical software.

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