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Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
Paperback
Series: Quantitative Applications in the Social Sciences, Book 101
General SociologyProbability & Statistics
ISBN13: 9780803949997
Publisher: Sage Publications, Inc
Published: Jun 30 1994
Pages: 96
Weight: 0.25
Height: 0.22 Width: 5.62 Depth: 8.56
Language: English
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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