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Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Language EnglishEnglish
Book Hardback
Book Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sa
Libristo code: 01568436
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, June 2007
This practical reference provides a comprehensive introduction and tutorial on the main statistical... Full description
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This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.

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About the book

Full name Applied Statistics Using SPSS, STATISTICA, MATLAB and R
Author Joaquim P. Marques de Sa
Language English
Binding Book - Hardback
Date of issue 2007
Number of pages 505
EAN 9783540719717
ISBN 3540719717
Libristo code 01568436
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 1004
Dimensions 166 x 242 x 34

Categories

Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Mathematics & Science > Mathematics > Probability & statistics
Technology, Engineering, Agriculture > Technology: general issues > Maths for engineers
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Computer science > Artificial intelligence
Mathematics & Science > Science: general issues
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