Multivariate Statistical Methods: A Primer, Third Edition [Paperback]

Bryan F.J. Manly (Author)

Book Description

ISBN-10: 1584884142 | ISBN-13: 978-1584884149 | Publication Date: June 30, 2004 | Edition: 3

Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used.

Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web.

New in the Third Edition:

Fully updated references

Additional examples and exercises from the social and environmental sciences

A comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginners

In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.

Product Details

• Paperback: 208 pages
• Publisher: Chapman and Hall/CRC; 3 edition (June 30, 2004)
• Language: English
• ISBN-10: 1584884142
• ISBN-13: 978-1584884149
• Product Dimensions: 9.1 x 5.8 x 0.6 inches
• Shipping Weight: 10.6 ounces (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (4 customer reviews)
• Amazon Best Sellers Rank: #501,340 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

40 of 40 people found the following review helpful:

5.0 out of 5 stars nice and concise, May 19, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Multivariate Statistical Methods: A Primer, Third Edition (Paperback)

Bryan Manly is an excellent writer who has published numerous books particularly in the area of permutation tests and resampling procedures. He provides rigor but is not overly detailed. This is the kind of text that would give you a nice overview of multivariate analysis and an appreciation for applications. It also serves as a nice reference source for a refresher on the basics. It would not be used as a course text for a graduate course in multivariate analysis because it is not detailed enough.

29 of 30 people found the following review helpful:

5.0 out of 5 stars Good balance of text, equations and references, July 29, 1999

By A Customer

This review is from: Multivariate Statistical Methods: A Primer, Second Edition (Paperback)

Unlike the full textbooks which slog through the material, Manly briskly moves along through the topics and illustrates the techniques with real numbers. References to the original papers are available as are hint for computer support -- which are sadly dated (Lotus 1-2-3?). Lightweight, easy to read on the bus, and nicely typeset.

8 of 8 people found the following review helpful:

4.0 out of 5 stars Just what it says: A primer, December 12, 2008

By 

Alethephant (Virginia Beach, VA USA) - See all my reviews

This review is from: Multivariate Statistical Methods: A Primer, Third Edition (Paperback)

This is a great first book to read if you are getting started with multivariate methods. It is very easy to read, has a (relatively) low mathematical threshold, and illustrates results with interesting datasets.

What it doesn't have is solid connections to more recent (last decade) results nor to modern statistical program systems, such as R, SAS or SPSS.

The second book you read on multivariate methods should be one published in the last 5 years. A recent book on data mining would be apropos for the non-statistician.