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Applied Multivariate Analysis (Paperback, Softcover reprint of the original 1st ed. 2002)
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Applied Multivariate Analysis (Paperback, Softcover reprint of the original 1st ed. 2002)
Series: Springer Texts in Statistics
Expected to ship within 10 - 15 working days
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Univariate statistical analysis is concerned with techniques for
the analysis of a single random variable. This book is about
applied multivariate analysis. It was written to p- vide students
and researchers with an introduction to statistical techniques for
the ana- sis of continuous quantitative measurements on several
random variables simultaneously. While quantitative measurements
may be obtained from any population, the material in this text is
primarily concerned with techniques useful for the analysis of
continuous obser- tions from multivariate normal populations with
linear structure. While several multivariate methods are extensions
of univariate procedures, a unique feature of multivariate data an-
ysis techniques is their ability to control experimental error at
an exact nominal level and to provide information on the covariance
structure of the data. These features tend to enhance statistical
inference, making multivariate data analysis superior to univariate
analysis. While in a previous edition of my textbook on
multivariate analysis, I tried to precede a multivariate method
with a corresponding univariate procedure when applicable, I have
not taken this approach here. Instead, it is assumed that the
reader has taken basic courses in multiple linear regression,
analysis of variance, and experimental design. While students may
be familiar with vector spaces and matrices, important results
essential to multivariate analysis are reviewed in Chapter 2. I
have avoided the use of calculus in this text.
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