What do you think?
Rate this book
An Introduction to Multivariate Statistical Analysis
Perfected over three editions and more than forty years, this field- and classroom-tested reference:
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.
* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures.
* Treats all the basic and important topics in multivariate statistics.
* Adds two new chapters, along with a number of new sections.
* Provides the most methodical, up-to-date information on MV statistics available.
- GenresMathematics
752 pages, Hardcover
First published January 1, 1963
9 people are currently reading
125 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
March 23, 2013
This is a dense reference book, good for seeing various statistical techniques explained and proved. It wasn't always the most informative or illustrative book to read though, and the examples were few. Clearly this book was more focused on theory than application. Therefore it would be a good book to reference in an academic paper! (mild sarcasm) It pairs reasonably well with Applied Multivariate Statistical Analysis which has more distilled mathematics (fewer proofs, less theory) and more examples and practical considerations.
The layout of the book was questionable from the start, there are many places that reference future chapters, and nearly every chapter relied heavily on the first appendix. I don't know why the appendix, a necessary prerequisite for the book shouldn't be the first chapter, rather than the last, especially since they used it so often. Expect a lot of page turning, and to keep a bookmark there. It was also evident this book has had several editions throughout its lifetime. Tacked on to the end of many chapters were modifications for elliptically contoured distributions. I trust the author's decision that their inclusion is necessary, but I don't recall any elucidating examples... and perhaps they would have made a better expansion+review chapter nearer the end of the book. The final chapter is a bare introduction to probabilities on graphs... which I'm sure made sense to include in earlier editions when graphical methods had not been heavily studied or exploited, but it's a wide and full field now and this introduction adds little to this book.
The layout of the book was questionable from the start, there are many places that reference future chapters, and nearly every chapter relied heavily on the first appendix. I don't know why the appendix, a necessary prerequisite for the book shouldn't be the first chapter, rather than the last, especially since they used it so often. Expect a lot of page turning, and to keep a bookmark there. It was also evident this book has had several editions throughout its lifetime. Tacked on to the end of many chapters were modifications for elliptically contoured distributions. I trust the author's decision that their inclusion is necessary, but I don't recall any elucidating examples... and perhaps they would have made a better expansion+review chapter nearer the end of the book. The final chapter is a bare introduction to probabilities on graphs... which I'm sure made sense to include in earlier editions when graphical methods had not been heavily studied or exploited, but it's a wide and full field now and this introduction adds little to this book.
Want to read
November 24, 2015hopping interesting book
Displaying 1 - 2 of 2 reviews