Titre: Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
�diteur: Sage Publications, Inc
Date de parution: 1994
Langue: anglais
ISBN � 10 chiffres: 0803949995
ISBN � 13 chiffres: 9780803949997
Reliure: Paperback
�tat de l'article: As New
�tat de la jaquette: No Jacket

A propos de ce titre

Synopsis

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.

� propos de l?auteur

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 Sage'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.

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