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

Bryan F.J. Manly
5.0 out of 5 stars  See all reviews (4 customer reviews)
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Book Description

6 July 2004 1584884142 978-1584884149 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.

  • Frequently Bought Together

    Multivariate Statistical Methods: A Primer, Third Edition + Multivariate Statistical Analysis: A Conceptual Introduction
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    Product details

    • Paperback: 224 pages
    • Publisher: Chapman and Hall/CRC; 3 edition (6 July 2004)
    • Language: English
    • ISBN-10: 1584884142
    • ISBN-13: 978-1584884149
    • Product Dimensions: 23.6 x 16.3 x 1.2 cm
    • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
    • Amazon Bestsellers Rank: 579,542 in Books (See Top 100 in Books)
    • See Complete Table of Contents

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    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.

    Inside This Book (Learn More)
    First Sentence
    The statistical methods that are described in elementary texts are mostly univariate methods because they are only concerned with analyzing variation in a single random variable. Read the first page
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    Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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    Customer Reviews

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    Most Helpful Customer Reviews
    14 of 14 people found the following review helpful
    5.0 out of 5 stars An Amazing Book!!! 19 Dec 2004
    Last time I did stats was at A-Levels but recently need it for my PhD. Most Multivariate stats books assume you are doing a degree in stats, this one doesn't. This is the first time I've been using multivariate stats (been a little scared if it before) however, it's been a pleasure reading and learning from this book.
    The book keeps the explanations simple and gives examples on how to calculate the different stats methods. The most important part of this book, I find most stats books assume you already know this, is that it give guidance on when you should use a particular stats method and states it's pros and cons.
    This is definitely the book for you if you need to know more about stats but don't come from a stats background!
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    4 of 4 people found the following review helpful
    5.0 out of 5 stars The Multivariate Techniques Bible 10 July 2009
    By McNibs
    I can not overemphasise how great a book this is for anyone starting out, or even working in, the field of multivariate statistics. Comes with standard examples which are used throughout the book by all the techniques, thereby offering a quick comparison. It is like a tutorial which uses consistent notation throughout! A big plus!

    Highly recommended.
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    5 of 6 people found the following review helpful
    I have read the 1986 edition of this book. I was extremely surprised to find a book with the perfect level of detail suitable for life scientists. It is an art to be able to write multivariate statistics for a non-statistician audience.
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    5.0 out of 5 stars Very friendly book 7 Mar 2013
    Format:Paperback|Verified Purchase
    Good examples and easy to understand.
    It invites you to learn more about the topic.
    Good software recomendation.
    A minimun level of statistic is required.
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    Most Helpful Customer Reviews on (beta) 4.6 out of 5 stars  5 reviews
    40 of 40 people found the following review helpful
    5.0 out of 5 stars nice and concise 19 May 2008
    By Michael R. Chernick - Published on
    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.
    30 of 31 people found the following review helpful
    5.0 out of 5 stars Good balance of text, equations and references 30 July 1999
    By A Customer - Published on
    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.
    10 of 11 people found the following review helpful
    4.0 out of 5 stars Just what it says: A primer 12 Dec 2008
    By Alethephant - Published on
    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.
    5.0 out of 5 stars Conceptual in Approach 23 Oct 2013
    By Andre L. Blanchard - Published on
    Format:Paperback|Verified Purchase
    This is a book that takes a very conceptual approach to teaching the subject. It is fairly non-technical with the objective of introducing readers to the subject. It is not a book that in my opinion that could stand alone. You will need supplementary texts for more details. I read each subject area to get a feel for the material and a conceptual understanding of the techniques and then I read a more substantial book to get into details. I rate it highly because I think it meets its objectives
    0 of 11 people found the following review helpful
    4.0 out of 5 stars Multivariate Statistical Methods Review 17 Feb 2010
    By Carmen T. Daggett - Published on
    The book was in excellent condition again it didn't come for two and half weeks which was frustrating.
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