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Multivariate Analysis (Hardcover, 2nd edition)
Loot Price: R1,937
Discovery Miles 19 370
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Multivariate Analysis (Hardcover, 2nd edition)
Series: Wiley Series in Probability and Statistics
Expected to ship within 12 - 17 working days
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Total price: R1,957
Discovery Miles: 19 570
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Comprehensive Reference Work on Multivariate Analysis and Its
Applications The first edition of this book, by Mardia, Kent and
Bibby, has been widely used globally for over 40 years. This second
edition brings many topics up to date, with a special emphasis on
recent developments. A wide range of material in multivariate
analysis is covered, including the classical themes of multivariate
normal theory, multivariate regression, inference, multidimensional
scaling, factor analysis, cluster analysis and principal component
analysis. The book also now covers modern developments such as
graphical models, robust estimation, statistical learning, and
high-dimensional methods. The book expertly blends theory and
application, providing numerous worked examples and exercises at
the end of each chapter. The reader is assumed to have a basic
knowledge of mathematical statistics at an undergraduate level
together with an elementary understanding of linear algebra. There
are appendices which provide a background in matrix algebra, a
summary of univariate statistics, a collection of statistical
tables and a discussion of computational aspects. The work includes
coverage of: Basic properties of random vectors, normal
distribution theory, and estimation Hypothesis testing,
multivariate regression, and analysis of variance Principal
component analysis, factor analysis, and canonical correlation
analysis Cluster analysis and multidimensional scaling New advances
and techniques, including statistical learning, graphical models
and regularization methods for high-dimensional data Although
primarily designed as a textbook for final year undergraduates and
postgraduate students in mathematics and statistics, the book will
also be of interest to research workers and applied scientists.
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