The Association Graph and the Multigraph for Loglinear Models: Quantitative Applications in the Social Sciences, cartea 167
Autor Harry J. Khamisen Limba Engleză Electronic book text – 6 iun 2012
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Specificații
ISBN-13: 9781452223421
ISBN-10: 1452223424
Pagini: 136
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: 1452223424
Pagini: 136
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
About
the
Author
Series Editor's Introduction
Chapter 1. Introduction
Chapter 2. Structures of Association
Chapter 3. Loglinear Model Review
Chapter 4. Association Graphs for Loglinear Models
Chapter 5. Collapsibility Conditions and the Association Graph
Chapter 6. The Generator Multigraph
Chapter 7. Fundamental Conditional Independencies for Nondecomposable Loglinear Models
Chapter 8. Conclusions and Additional Examples
Data Sets
References
Author Index
Subject Index
Series Editor's Introduction
Chapter 1. Introduction
Chapter 2. Structures of Association
Chapter 3. Loglinear Model Review
Chapter 4. Association Graphs for Loglinear Models
Chapter 5. Collapsibility Conditions and the Association Graph
Chapter 6. The Generator Multigraph
Chapter 7. Fundamental Conditional Independencies for Nondecomposable Loglinear Models
Chapter 8. Conclusions and Additional Examples
Data Sets
References
Author Index
Subject Index
Descriere
Looking
at
the
multigraph
representations
of
loglinear
models,
this
is
a
clear,
introductory
text
on
the
area
of
graphical
models
and
is
an
ideal
text
for
those
new
to
the
field.
Notă biografică
Harry Khamis has taught university statistics
courses, both undergraduate and graduate, for 30 years. He has directed the Statistical
Consulting Center
at Wright State University
since 1993. Dr. Khamis doctoral thesis
involved research on the loglinear model and he authored or co-authored 73
publications, of which 12 deal with the loglinear model. He developed the multigraph representation of
hierarchical loglinear models (Journal of
Statistical Planning and Inference 53, 63-74, 1996, and related articles);
it is now an entry in the Encyclopedia of
Statistics in Behavioral Science.