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Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences Liao, Tim F. (Futing)
Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences
Liao, Tim F. (Futing)
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.
96 pages, figs.tabs.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 16, 1994 |
| ISBN13 | 9780803949997 |
| Publishers | SAGE Publications Inc |
| Pages | 96 |
| Dimensions | 216 × 142 × 6 mm · 152 g |
| Language | English |