An Introduction to Multivariate Data Analysis by Trevor Cox (2005, Trade...

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Subject Area
Data Analysis
Subject
Trade
ISBN
9780340760840
類別

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Product Identifiers

Publisher
Hachette Learning
ISBN-10
0340760842
ISBN-13
9780340760840
eBay Product ID (ePID)
2241190

Product Key Features

Number of Pages
256 Pages
Publication Name
Introduction to Multivariate Data Analysis
Language
English
Publication Year
2005
Subject
Probability & Statistics / Multivariate Analysis
Type
Textbook
Author
Trevor Cox
Subject Area
Mathematics
Format
Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
15 Oz
Item Length
6.1 in
Item Width
9.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2006-298168
Reviews
It is common for students on their first introduction to multivariate statistics to be overwhelmed by the large number of different techniques and indeed different names for essentially the same technique. For such students, and for those who need multivariate methods in their research work, this book would be a very useful purchase., The book is suitable for university courses in statistics and other disciplines where statistics plays a major role. It appeals to researchers as well who would benefit from the use of multivariate methods to analyze data from their experiments ... The book is informally written, it clearly explains the key ideas of the topics without going too deeply into the mathematics.
TitleLeading
An
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.535
Synopsis
Multivariate data appear in all scientific fields of investigation and the study of multivariate analysis has become central to the discipline of data science. Not only is it part of the statistical education curriculum but it is also an essential tool for applied scientists in their research work. An Introduction to Multivariate Data Analysis clearly explains how to successfully reduce a large and complex set of data with many variables to a manageable new formulation where information, structure and underlying patterns are more clearly revealed. Features include: ·Coverage of all major multivariate methods ·Emphasis on motivation and the practical application of concepts ·Worked examples throughout ·End of chapter exercises to build student confidence. This book is an accessible and comprehensive introduction to the subject of multivariate analysis, and will appeal to all those students and researchers who would benefit from the use of multivariate methods to analyse data from their experiments and studies. A basic knowledge of univariate statistics and matrix algebra is assumed., A comprehensive introduction to multivariate data analysis for students without a background in mathematics who are now studying statistics. The text combines the theory and practice of multivariate analysis and includes exercises of varying degrees of difficulty, as well as data projects, to allow the student to gain confidence in a complex subject area. There is a website accompany for the text that contains programmes for matirx manipulation which is essential for students of statistics., The text combines the theory and practice of multivariate analysis and includes exercises of varying degrees of difficulty, as well as data projects, to allow the student to gain confidence in a complex subject area. There is a website accompany for the text that contains programs for matrix manipulation which is essential for students of statistics.
LC Classification Number
QA278

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