Log-Linear Models
Series: Quantitative Applications in the Social Sciences; 20;
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17 671 Ft
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Product details:
- Edition number 1
- Publisher SAGE Publications, Inc
- Date of Publication 30 September 1980
- ISBN 9780803914926
- Binding Paperback
- No. of pages80 pages
- Size 215x139 mm
- Language English 90
Categories
Short description:
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.
MoreLong description:
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.
Table of Contents:
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.
More
