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Michael J. Crawley - Statistical Computing - 9780471560401 - V9780471560401
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Statistical Computing

€ 144.52
FREE Delivery in Ireland
Description for Statistical Computing Hardcover. Offers coverage of basic and advanced statistical methods, concentrating on graphical inspection, and featuring step-by-step instruction to help non-statisticians understand the methodology. Num Pages: 772 pages, Ill. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 253 x 193 x 48. Weight in Grams: 1792.
Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the implementation of large data sets and to obtain useful results. S-Plus is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply a number of statistical methods, ranging from simple regression to time series or multivariate analysis. This text offers extensive coverage of many basic and more advanced statistical methods, concentrating on graphical inspection, and features step-by-step instructions to help the non-statistician to understand fully ... Read more

Product Details

Format
Hardback
Publication date
2002
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
772
Condition
New
Number of Pages
772
Place of Publication
New York, United States
ISBN
9780471560401
SKU
V9780471560401
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Michael J. Crawley
Michael J. Crawley, FRS, is with the Department of Biological Sciences, Imperial College of Science, Technology and Medicine. He is the author of three bestselling Wiley statistics titles and five life science books.

Reviews for Statistical Computing
"...suitable as a reference book for experienced statisticians, a vehicle for learning the S statistical computing language, or a resource for statistics instructors..." (The American Statistician, Vol. 58, No. 1, February 2004) "...especially useful as an introduction to a wide variety of data analysis techniques." (R News) "...The book is well written - there is an air ... Read more

Goodreads reviews for Statistical Computing


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