Liao, Tim F. (Futing)
Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences Liao, Tim F. (Futing)

Name: Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences
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Author: Liao, Tim F. (Futing)

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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.

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	1994年8月16日
ISBN13	9780803949997
出版社	SAGE Publications Inc
ページ数	96
寸法	216 × 142 × 6 mm · 152 g
言語	英語