Principal Components Analysis: Quantitative Applications in the Social Sciences, cartea 69
Autor George Henry Duntemanen Limba Engleză Electronic book text – 30 iul 1989
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 335.55 lei 6-8 săpt. | |
| SAGE Publications – 11 iul 1989 | 335.55 lei 6-8 săpt. | |
| Electronic book text (1) | 114.33 lei Precomandă | |
| SAGE Publications – 30 iul 1989 | 114.33 lei Precomandă |
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Specificații
ISBN-13: 9781452208923
ISBN-10: 1452208921
Pagini: 96
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
ISBN-10: 1452208921
Pagini: 96
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
Cuprins
Introduction
Basic Concepts of Principal Components
Geometrical Properties of Principal Components
Decomposition Properties of Principal Components
Principal Components of Patterned Correlation Matrices
Rotation of Principal Components
Using Principal Components to Select a Subset of Variables
Principal Components Versus Factor Analysis
Uses of Principal Components in Regression Analysis
Using Principal Components to Detect Outlying and Influential Observations
Use of Principal Components in Cluster Analysis
Use of Principal Components Analysis in Conjunction with Other Multivariate Analysis Procedures
Other Techniques Related to Principal Components
Summary and Conclusions
Basic Concepts of Principal Components
Geometrical Properties of Principal Components
Decomposition Properties of Principal Components
Principal Components of Patterned Correlation Matrices
Rotation of Principal Components
Using Principal Components to Select a Subset of Variables
Principal Components Versus Factor Analysis
Uses of Principal Components in Regression Analysis
Using Principal Components to Detect Outlying and Influential Observations
Use of Principal Components in Cluster Analysis
Use of Principal Components Analysis in Conjunction with Other Multivariate Analysis Procedures
Other Techniques Related to Principal Components
Summary and Conclusions
Descriere
For
anyone
in
need
of
a
concise,
introductory
guide
to
principal
components
analysis,
this
book
is
a
must.
Through
an
effective
use
of
simple
mathematical-geometrical
and
multiple
real-life
examples
(such
as
crime
statistics,
indicators
of
drug
abuse,
and
educational
expenditures)
--
and
by
minimizing
the
use
of
matrix
algebra
--
the
reader
can
quickly
master
and
put
this
technique
to
immediate
use.