Interpreting Probability Models Logit, Probit, and Other Generalized Linear Models

ISBN-10: 0803949995

ISBN-13: 9780803949997

Edition: 1994

Authors: Tim Futing Liao
List price: $22.00
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Description: What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.

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Book details

List price: $22.00
Copyright year: 1994
Publisher: SAGE Publications, Incorporated
Publication date: 6/30/1994
Binding: Paperback
Pages: 96
Size: 5.50" wide x 8.50" long x 0.25" tall
Weight: 0.286
Language: English

Tim Liao is Professor of Sociology & Statistics. His research interests include historical/comparative sociology, demography, and methodology. He is a former Deputy Editor of The Sociological Quarterly, (1992-2000) and the current Editor of Sagersquo;s Quantitative Applications in the Social Sciences series. He served on the council of the ASA Methodology Section (1998-2001) and on the council of the North America Chinese Sociological Association (2000-2002). He has been on the editorial board of Sociological Methods & Research since 1994 and on the editorial board of Sociological Methodology since 2003. He is the Chair-Elect of the Methodology Section of the American Sociology Association from August 2007 to August 2009.

Introduction
Generalized Linear Models and the Interpretation of Parameters
Binary Logit and Probit Models
Sequential Logit and Probit Models
Ordinal Logit and Probit Models
Multinomial Logit Models
Conditional Logit Models
Poisson Regression Models
Conclusion
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