📖 Multivariate Data Analysis - in Practice
Monday, October 29, 2018 by dev
Multivariate Data Analysis - in Practice
By:Kim H. Esbensen,Dominique Guyot,Frank Westad,Lars P. Houmoller
Published on 2002 by Multivariate Data Analysis
|Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature.|Résumé de l'éditeur.
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Book ID of Multivariate Data Analysis - in Practice's Books is Qsn6yjRXOaMC, Book which was written byKim H. Esbensen,Dominique Guyot,Frank Westad,Lars P. Houmollerhave ETAG "fGj0gCWYkoA"
Book which was published by Multivariate Data Analysis since 2002 have ISBNs, ISBN 13 Code is 9788299333030 and ISBN 10 Code is 8299333032
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