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Interpreting Probability Models - Logit, Probit, and Other Generalized Linear Models
Tim Futing Liao
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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.
Categories:
Content Type:
BooksVolume:
101
Year:
1994
Edition:
1
Publisher:
Sage Publications, Inc
Language:
english
Pages:
88
ISBN 10:
0803949995
Series:
Quantitative Applications in the Social Sciences
File:
CHM, 265 KB
Your tags:
IPFS:
CID , CID Blake2b
english, 1994
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