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Statistical Computing - An Introduction to Data Analysis Using S-Plus (Hardcover) Loot Price: R2,736
Discovery Miles 27 360
You Save: R666 (20%)
Statistical Computing - An Introduction to Data Analysis Using S-Plus (Hardcover): M.J. Crawley

Statistical Computing - An Introduction to Data Analysis Using S-Plus (Hardcover)

M.J. Crawley

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List price R3,402 Loot Price R2,736 Discovery Miles 27 360 | Repayment Terms: R256 pm x 12* You Save R666 (20%)

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S-Plus is a first-rate graphical environment, used by thousands worldwide to perform basic, intermediate and advanced statistical analysis. It is remarkably powerful, yet relatively simple to use, once you have the basics at your fingertips. Statistical Computing: An Introduction to Data Analysis using S-Plus provides a pragmatic introduction to analysing data using S-Plus, whilst covering a huge breadth of topics, and assuming minimal statistical knowledge.
  • Provides an accessible yet comprehensive introduction to statistical computing, and can be used as a reference volume for S-Plus.

  • Covers a breadth of topics, including the basics, such as sampling and measures of central tendency and variation; the intermediate, such as analysis of variance and regression; and the most advanced modern methods, such as nonlinear mixed effects modelling and tree models.

  • Develops each concept from first principles in small steps, with worked examples and implementation advice throughout.

  • Assumes minimal experience of statistics and computing.

  • Emphasises graphical data inspection, parameter estimation and model criticism.

  • Supported by a Web site featuring all the data-frames, along with problems and worked examples.
This is very much an introductory statistics book for all scientists. It is based on the premise that effective data analysis requires the mastery of a core of central ideas and methods, and that these cut across the boundaries of academic disciplines. It is suitable for advanced undergraduate, graduate students, researchers, and industry professionals from science, medicine, engineering, economics, the social sciences, and many other disciplines that have a need for statistical data analysis.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: April 2002
First published: May 2002
Authors: M.J. Crawley
Dimensions: 256 x 197 x 46mm (L x W x T)
Format: Hardcover
Pages: 772
ISBN-13: 978-0-471-56040-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 0-471-56040-5
Barcode: 9780471560401

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