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25 Remote Warehouse Sociology- Reference and Methodology

Quantitative Applications in the Social Sciences #20: Log-Linear Models

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Quantitative Applications in the Social Sciences #20: Log-Linear Models Cover

 

Synopses & Reviews

Synopsis:

Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.

Synopsis:

Introduces methods for quantitative assessment of relationships among categoric variables in multivariable crosstabulations. Procedures to estimate and interpret effect parameters for hierarchical models are described for both the general loglinear model and its logit version.

Product Details

ISBN:
9780803914926
Introduction:
Sullivan, John L.
Author:
Burke, Peter J.
Introduction by:
Sullivan, John L.
Introduction:
Sullivan, John L.
Author:
Knoke, David
Publisher:
Sage Publications (CA)
Location:
Beverly Hills, Calif. :
Subject:
Research
Subject:
Social sciences
Subject:
Mathematical models
Subject:
Political sociology
Subject:
Log-linear models.
Subject:
Political sociology -- Mathematical models.
Subject:
Probability & Statistics - General
Subject:
Social sciences -- Mathematical models.
Subject:
Sociology-Reference and Methodology
Edition Description:
Bibliography: p. 77-79.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
20
Publication Date:
19800831
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
80
Dimensions:
7.98x6.02x.19 in. .21 lbs.

Related Subjects

History and Social Science » Sociology » Reference and Methodology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #20: Log-Linear Models New Trade Paper
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$20.50 In Stock
Product details 80 pages Sage Publications - English 9780803914926 Reviews:
"Synopsis" by , Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.
"Synopsis" by , Introduces methods for quantitative assessment of relationships among categoric variables in multivariable crosstabulations. Procedures to estimate and interpret effect parameters for hierarchical models are described for both the general loglinear model and its logit version.
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