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Multivariate Statistical Methods
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eBay-Artikelnr.:277267237390
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781498728966
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1498728960
ISBN-13
9781498728966
eBay Product ID (ePID)
219621107
Product Key Features
Number of Pages
253 Pages
Publication Name
Multivariate Statistical Methods : a Primer, Fourth Edition
Language
English
Subject
Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Publication Year
2016
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
14.4 Oz
Item Length
9.2 in
Item Width
6.4 in
Additional Product Features
Edition Number
4
Intended Audience
College Audience
LCCN
2016-020181
Dewey Edition
23
Reviews
Praise for the Third Edition: "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 edition...This is a nice book to have around to loan to people who are just getting started in multivariate analysis." --Technometrics,Vol. 47, No. 3, August 2005, "Multivariate Statistical Methods: A Primer (MSM) has always had a special place in the world of teaching as a non-technical introduction to multivariate analysis for those interested in understanding and performing this type of data analysis. Like its previous editions, this new, fourth edition of MSM strives to help the reader develop an intuitive understanding of multivariate data while providing examples and a gentle introduction to its basic mathematical concepts. Readers should take heart to appreciate this approach. It is important that all users, from social scientists to analytics professionals, have a basic conceptual understanding of multivariate methods so that they are able to properly vet, interpret, and use their data analyses. In addition to an overview of each method, MSM provides several useful and interesting multivariate data sets, which it uses throughout the text as examples, and this fourth edition also provides the R code for these examples as an appendix to each chapter. For individuals wanting to develop hands-on experience and an understanding of multivariate methods, the data sets, R code, and discussions of examples throughout the text are invaluable and accessible." --Chad R Bhatti, Predictive Analytics, Northwestern University "I have been using the third edition of Bryan Manly's "Multivariate Statistical Methods"in my graduate class on System Analysis for the last three years. Personally, I like this book and I advise my students to continue using it, even after the course is over, as it serves as a compact guide to multivariate statistics. It is a short textbook, but it still nicely covers a variety of different and difficult topics, and it demonstrates the many possible approaches to solving a given problem. The book is quite well organized; it includes some necessary mathematical background such as linear algebra, but also good examples and different sets of interesting data which are used to illustrate different methods. Later these sets are needed to solve problems, which could be used by students to assist their homework assignments. I am looking forward to using this new and improved edition of the book in my courses!" --Alexey L Sadovski,Professor of Mathematics, Texas A&M University-Corpus Christi Praise for the Third Edition: "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 edition...This is a nice book to have around to loan to people who are just getting started in multivariate analysis." --Technometrics,Vol. 47, No. 3, August 2005
Illustrated
Yes
Dewey Decimal
519.5/35
Edition Description
Revised edition,New Edition
Table Of Content
The Material of Multivariate Analysis. Matrix Algebra. Displaying Multivariate Data. Tests of Significance with Multivariate Data. Measuring and Testing Multivariate Distances. Principal Components Analysis. Factor Analysis. Discriminant Function Analysis. Cluster Analysis. Canonical Correlation Analysis. Multidimensional Scaling. Ordination. Epilogue.
Synopsis
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
LC Classification Number
QA278.M35 2017
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