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Applied Statistics Using SPSS, Statistica, Matlab and R
Joaquim P. Marques de Sa
€ 159.73
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Description for Applied Statistics Using SPSS, Statistica, Matlab and R
Hardcover. Num Pages: 505 pages, 129 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 166 x 34. Weight in Grams: 914.
Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.
Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.
Product Details
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
536
Format
Hardback
Publication date
2007
Condition
New
Weight
913g
Number of Pages
505
Place of Publication
Berlin, Germany
ISBN
9783540719717
SKU
V9783540719717
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Applied Statistics Using SPSS, Statistica, Matlab and R
From the reviews: Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics ... . The relevant notions and methods are explained concisely, illustrated with practical examples using real ... Read more