Synopsis
A comprehensive introduction to multivariate data analysis for students without a background in mathematics who are now studying statistics. The text combines the theory and practice of multivariate analysis and includes exercises of varying degrees of difficulty, as well as data projects, to allow the student to gain confidence in a complex subject area. There is a website accompany for the text that contains programmes for matirx manipulation which is essential for students of statistics.
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About the Author
Trevor F. Cox is Senior Statistician at Unilever Research and Development, Port Sunlight and Visiting Professor at University of Reading, UK.
From the Back Cover
Multivariate data appear in all scientific fields of investigation and the study of multivariate analysis has become central to the discipline of data science. Not only is it part of the statistical education curriculum but it is also an essential tool for applied scientists in their research work. An Introduction to Multivariate Data Analysis clearly explains how to successfully reduce a large and complex set of data with many variables to a manageable new formulation where information, structure and underlying patterns are more clearly revealed.
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An Introduction to Multivariate Data Analysis
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Hodder Education Publishers, 2005
ISBN 10: 0340760842
ISBN 13: 9780340760840
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An Introduction to Multivariate Data Analysis
Published by
Hodder Education Publishers, 2005
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