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Multivariate Statistical Methods: A Primer, Second Edition, by Bryan F.J. Manly
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The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods.
This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.
- Sales Rank: #4832458 in Books
- Published on: 1994-07-01
- Original language: English
- Number of items: 1
- Dimensions: 8.75" h x 5.50" w x .75" l,
- Binding: Paperback
- 232 pages
Review
The previous edition (2E) was reviewed by Nemeth (1997), who was enthusiastic about the book's role as 'an excellent, easy-to-read introduction to the analysis of multivariate data'Her summary continues to work just fine for this new editionChapter summaries, always a nice feature, have been added throughoutthis is a nice book to have around to loan to people who are just getting started in multivariate analysis.
Most helpful customer reviews
40 of 40 people found the following review helpful.
nice and concise
By Michael R. Chernick
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.
11 of 12 people found the following review helpful.
Just what it says: A primer
By Alethephant
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.
30 of 31 people found the following review helpful.
Good balance of text, equations and references
By A Customer
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.
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