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Books > Science & Math > Mathematics > Applied > Probability & Statistics > B007RL0PHS
  1. Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)
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  2. Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

    [B007RL0PHS]
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Additional Information

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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Specifications

Country
USA
Author
Tim F. (Futing) Liao
Binding
Kindle Edition
Edition
1
EISBN
9781452209128
Format
Kindle eBook
Label
SAGE Publications, Inc
Manufacturer
SAGE Publications, Inc
NumberOfPages
96
PublicationDate
1994-06-30
Publisher
SAGE Publications, Inc
ReleaseDate
1994-06-30
Studio
SAGE Publications, Inc
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