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Chris Chatfield

Introduction to Multivariate Analysis

★★★★★
★★★★★
€112.99
A01=A. Collins
A01=Chris Chatfield
advanced multivariate statistics applications
Agglomerative Algorithm
Alexander J. Collins
ANOVA Table
Author_A. Collins
Author_Chris Chatfield
Canonical Variates
Canonical Variates Analysis
Category=PBT
Chest Circumference
Christopher Chatfield
cluster detection algorithms
compounds
correlation
covariance
covariance structure modeling
Cumulative Distribution Function
data reduction techniques
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
factor analysis methods
Finding New Underlying Variables
Fisher's Linear Discriminant Function
Fisher’s Linear Discriminant Function
Hierarchical Clustering Method
hypothesis
linear
Linear Compounds
matrix
MUAC
Multidimensional Contingency Table
multidimensional data visualization
Multiple Linear Regression
Multivariate Discrete Distributions
Multivariate distributions
Multivariate Poisson Distributions
Multivariate Test Procedures
MVN Distribution
Non-zero Roots
Os
Positive Semidefinite
Preliminary data analysis
Principal component analysis
Procedures Based on the Multivariate Normal Distribution
Proper Statistical Model
random
sample
Sample Correlation Matrix
Simple Matching Coefficient
Simultaneous Confidence Intervals
Single Link Clustering
social science statistics
vector
Vector Random Variable

Product details

  • ISBN 9780412160400
  • Weight: 480g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 May 1981
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description
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.