Introduction to multivariate analysis

By:

Christopher Chatfield

Contributor(s):

Collins, Alexander J

Material type: Text

TextLanguage: English Publication details: London Chapman & Hall CRC 2017Description: x,246p. PB 22.5x15cmISBN:

9781138705791

Subject(s):

Statistics

DDC classification:

23 519.535 CHAI

Summary: This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis, traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research, soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.

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Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius PG Library	Mathematics	519.535 CHAI (Browse shelf(Opens below))	Available	PG023687

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Previous	519.502855133 WICA Advanced R	519.53 WARA Applied statistics:From bivariate through multivariate techniques	519.535 ANDS Statistical analysis of categorical data Ed3	519.535 CHAI Introduction to multivariate analysis	519.535 DINM Multivariate calculus and geometry.	519.535 DINM Multivariate calculus and geometry.	519.535 DINM Multivariate calculus and geometry.	Next

This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis, traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research, soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.

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