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Title: Applied Multivariate Statistical Analysis by Richard A. Johnson, Dean W. Wichern ISBN: 0-13-092553-5 Publisher: Prentice Hall Pub. Date: 15 January, 2002 Format: Hardcover Volumes: 1 List Price(USD): $111.33 |
Average Customer Rating: 3.91 (11 reviews)
Rating: 5
Summary: Broad and practical
Comment: People complain that statistics is about memorizing a bunch of formulas and when to use them. I disagree. The real problem is that the formulas almost never apply exactly to the subject at hand - they have to be adjusted to each application.
That's why this book is so helpful. It gives huge numbers of results I can use immediately, but also shows me where they came from. That means that I can rephrase the formulas as needed in special computing environments, but still be sure that I'm getting a meaningful answer. The book has a secondary emphasis that I value very highly: checks that the techniques are giving meaningful answers. It's pretty silly, and perhaps dangerous, to apply a technique without knowing how good its results are. This book gives me the checks I need to measure the quality of the results from each technique.
No, there's no C code to cut and paste. This is a math book. The math is clear and well-developed, though, and mostly limited to linear algebra. As I type this, I have the book open to "Discrimination and Classification," and I have my protoype C program on the screen. That's how directly applicable the book is.
I admit, I haven't appplied every technique in the book. All of the book is equally well-written, though. When I need principal components or basic clustering, this is the book I'll grab first.
Rating: 3
Summary: Complicated.
Comment: Why is nearly everything associated with upper division math and statistics seemingly difficult? I took a class that used this book, and some how got a B, I can't even remember half the stuff in this book. Why can't someone write a book that is simple to use, simple to understand, and a little more realistic! Don't get me wrong, I love math, I just have never sat down in a job and did a math proof. Proofs just seem to make the subject for difficult. I want to use the material in a realistic setting, maybe a real life setting?!
Rating: 5
Summary: add it to your library
Comment: this is an ideal text for advanced statistics students who would like to learn about factor analysis, canonical correlations, principal components analysis, linear discriminants, etc... you definitely need to have some background in linear algebra --reading the first few sections will not be sufficient. the examples are better than those found in mardia's book. knowing splus (matlab or similar software) will help you get through the exercises. IT'S A GOOD BOOK TO ADD TO YOU LIBRARY
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Title: Multivariate Data Analysis (5th Edition) by Joseph F Hair, Ronald L Tatham, Rolph E. Anderson, William Black ISBN: 0138948585 Publisher: Prentice Hall Pub. Date: 23 March, 1998 List Price(USD): $137.33 |
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Title: An Introduction to Multivariate Statistical Analysis by T. W. Anderson ISBN: 0471360910 Publisher: Wiley-Interscience Pub. Date: 11 July, 2003 List Price(USD): $99.95 |
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Title: Statistical Inference by George Casella, Roger L. Berger ISBN: 0534243126 Publisher: Brooks Cole Pub. Date: 18 June, 2001 List Price(USD): $117.95 |
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Title: Applied Linear Statistical Models by Michael H. Kutner, Christopher J. Nachtschiem, William Wasserman, Neter, John Neter ISBN: 0256117365 Publisher: McGraw-Hill/Irwin Pub. Date: 01 February, 1996 List Price(USD): $101.56 |
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Title: Categorical Data Analysis by Alan Agresti ISBN: 0471360937 Publisher: Wiley-Interscience Pub. Date: 12 July, 2002 List Price(USD): $94.50 |
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