Log-linear models: Quantitative Applications in the Social Sciences by David knoke

By:

David knoke [Authoe]

Contributor(s):

Peter J. Burke

Publication details: Sage New Delhi 1980Description: x, 80 pages; Illustrations: 21 cmISBN:

9780803914926

DDC classification:

519.5 KNO

Abstract: 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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam General Stacks	Non-fiction	519.5 KNO (Browse shelf(Opens below))	Checked out	04/23/2023	001257

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Previous	519.3 BOR An Introduction to the theory of mechanism design	519.3 CHA A Course on Cooperative Game Theory	519.5 CHE Straightforward Statistics	519.5 KNO Log-linear models: Quantitative Applications in the Social Sciences	519.5 WAR Spatial regression models	519.50243 SUL Multiple indicators: an introduction	519.502465 Statistics for Business: Decision Making and Analysis	Next

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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