Applied Multivariate Statistical Analysis
by Wolfgang K. Hardle, Leopold Simar
Publisher: Springer 2003
Number of pages: 488
The authors' intention is to present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners who are confronted by statistical data analysis. The book has a friendly yet rigorous style. All methods are demonstrated through numerous real examples. Mathematical results are clearly stated.
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Intended for introductory statistics courses for students at two and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications rather than the theory.
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