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Applied Multivariate Statistical Analysis [Paperback]

Wolfgang Karl Härdle , Léopold Simar
3.7 out of 5 stars  See all reviews (3 customer reviews)


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Applied Multivariate Statistical Analysis Applied Multivariate Statistical Analysis 3.7 out of 5 stars (3)
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Book Description

September 10, 2007 3540722432 978-3540722434 2nd
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online.

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Editorial Reviews

Review

From the reviews: "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 … . All chapters contain numerous theoretical and practical exercises. … it can be said that the authors have fully attained their goals." (Ricardo Maronna, Statistical Papers, Vol. 46 (1), 2005) "This textbook gives a broad and modern introduction to statistics for multivariate data. A bunch of interesting examples is used to illustrate the techniques. … All chapters are finished by memorable summaries subsuming the main results and a couple of exercises. The mathematical background and derivations are concise, while practical aspects like computation and visualization are stressed using detailed examples. … I consider the book to be an excellent starting point for everybody interested in learning about statistical methods for multivariable data sets." (R. Fried, Metrika, 2006) "The mathematics and statistical theory is at the graduate statistics level, and at that level, this book is superb. … Many of the applications … are packed with graphical presentations and are very informative and interesting to read. The exercises would be acceptable for classroom purposes. … it would serve well as a reference to a ‘mathematically mature’ person already familiar with multivariate methods. The e-book version makes the work particularly valuable as a reference." (Charles E. Heckler, Technometrics, Vol. 47 (4), 2005) "The book contains a state of the art presentation of the tools and concepts of multivariate data analysis with a strong focus on applications. … It is an attractive blend of theory and practice with a wide range of examples and 228 exercises. All data sets used in the book can be downloaded and a downloadable online version offers interactive exercises and data analysis." (T. Postelnicu, Zentralblatt MATH, Vol. 1028, 2005) "As the title of the book indicates this volume is particularly directed towards a readership that is interested in practical help when facing multivariate statistical problems. … Moreover, the many examples accompanying the presentation of the different methods cover various areas of empirical research. … It concludes with an appendix where we find all data sets used for the various real data examples. Each section provides a sample of exercises. … particular feature of this book is that it belongs to the Springer e-books series." (Stefan Sperlich, Statistical Software Newsletter, 2004)

Language Notes

Text: German --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Paperback: 470 pages
  • Publisher: Springer; 2nd edition (September 10, 2007)
  • Language: English
  • ISBN-10: 3540722432
  • ISBN-13: 978-3540722434
  • Product Dimensions: 0.9 x 6.1 x 9.1 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,346,597 in Books (See Top 100 in Books)

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Customer Reviews

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Most Helpful Customer Reviews
20 of 20 people found the following review helpful
5.0 out of 5 stars Excellent! August 7, 2007
Format:Paperback
This is probably the best applied statistics book I have ever read. It is not one of the "for dummies" book, it does use some linear algebra and requires some knowledge of elementary statistics, but at the same time it is very clear and understandable. I think this is the only reasonable approach - whatever you are told, you cannot understand statistics if you are not prepared - you can't run before you learn to walk. If you buy a "statistics for dummies" you will only waste your money - you will learn a few names of statistical methods (and possibly what to click in your favourite stats program) but you will not be able to use them.

The authors start with a few examples, then lay out the formalism, and then use it in introducing various methods and techniques. The level of generality is not very high and you can read the book without the knowledge of, say, modern integration theory, yet it is sufficient for all the APPLIED problems that the reader is likely to meet in his/her work. (If you want to publish papers in AMSTAT journals you will have to learn more)

A potential strength of this book is the electronic version which you can download using the code given at the end of the book, but I haven't done this so far. I assume that if you travel a lot you can carry the book on your laptop instead of your backpack. I have downloaded Xplore and find it quite nice, however, my stats system of choice is R, so I used this instead.

There are some minor problems: for example there are some typos (some of them quite serious) and the end of chapter problems are not challenging enough (most can be done by inspection or by plugging numbers into Xplore). Speaking of the problems, the authors say that there is a solution manual, but it does not seem possible to get hold of it in any way. Still, the problems are so simple, that no solutions manual seems necessary.

All in all, I highly recommend this book. Both thumbs up!
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2 of 2 people found the following review helpful
5.0 out of 5 stars One of the Best! February 5, 2014
Format:Paperback
I have to agree with Piskorski's review, this is an excellent, very practical book on multivariate stats!

When it comes to choosing a book on multivariate statistics, people generally fall into two camps: (1) those with a quantitative background who want to see the guts (i.e. equations) that underlie statistical methods, and (2) those who lack a strong quantitative background, but need guidance in setting up and performing statistical tests and analyses. The book by Härdle and Simar is for people who fall into the first camp. Those in the second camp might consider the less formal book by Kachigan http://www.amazon.com/Multivariate-Statistical-Analysis-Conceptual-Introduction/dp/0942154916/ref=sr_1_2?ie=UTF8&qid=1391623286&sr=8-2&keywords=kachigan+statistical+analysis.

In addition, the first camp (quants) can be divided into those who want to see proofs and full derivations of formulas, and those that just need enough information on the mechanics to make informed decisions about setting up and interpreting analyses. For the latter (like me), many books that do include a mathematical treatment go way beyond what they need. We need a book that strikes a balance between mathematical rigor and practical knowledge. Härdle and Simar are to be congratulated for hitting the target! Rarely have I come across a stats book that provides the essential mathematical foundation, but no more. This is precisely what is needed by practicing statisticians, and is what sets this book apart from droves of others in this genre.

Kudos!
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4 of 6 people found the following review helpful
1.0 out of 5 stars Disappointment January 4, 2012
By Anne
Format:Paperback
I`ve bought the second edition of this book following the recommendation of my predecessor.

My impression, however, is pretty much the opposite:

- miserable didactic style (the first chapters are trivial, the rest is just a mess of hieroglyphics, thereby lacking mathematical conscientiousness)
- far too little intuitions (even if easily implementable)
- cumbersome or missing explanations and algorithms
- patchy definitions
- typos (whilst no errata could be found on the internet)
- inadequate exercises

Besides, the physical quality of the book is bad as well:
One has to use considerable force otherwise the book won`t stay open (if you want to work with several books at a time, for example).
When using highlighters, there will be marks on the backsinde of the page as well.

The book is overpriced as well (~$85).
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