Multivariate Data Analysis: In Practice : an Introduction to Multivariate Data Analysis and Experimental Design
Multivariate Data Analysis, 2002 - Experimental design - 598 pages
"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.
What people are saying - Write a review
This book in general is very difficult to read and understand for beginners in this area. With no background in statistics, the students have to search for a lot of information on internet or from other books, instead of getting answer from this book.The sentences are in such a disorder that students have to spend at least 3 times more efforts than they have to in understanding the concept and principle, compared with other books. On the other hand, the book is very much related to the software Unscramber- this means it is actually a tutorial for the software, other than a book in "Multivariate data analysis" for beginners. Not recommended at all if you are not using the Unscramber.
This book is incredible for those who don't need to go in-depth about mathematical modeling in PCA. It's a very easy read, and explains the concepts of PCA exceptionally well. A must for anyone using the Unscrambler X (Camo)!
lntroduction to Multivariate Data Analysis
Getting Started with Descriptive Statistics
Principal Component Analysis PCA
Principal Component Analysis PCA ln Practice
PCA Exercises RealWorld Application Examples
Multivariate Calibration PCRPLS
Uncertainty Estimates Significance and Stability
An lntroduction to Classification
lntroduction to Experimental Design
Complex Experimental Design Problems
Comparison of Methods for Multivariate Data
Mandatory Performance Testing
How to Perform PCR and PLSR
PLS PCR Multivariate Calibration ln Practice
RealWorld Applications ll273
Software lnstallation and User
Glossary of Terms