ENGLISH

Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

By Tim F. Liao

Book information

Publisher
Inc, Sage Publications
Year
1994
ISBN
0803949995, 9780803949997
LCC
QA279 .L52 1994
Open Library ID
OL1089866M
Language
english
Format
CHM
Filesize
265 kB (270926 bytes)
Edition
1
Pages
88\0
Orientation
yes
Scanned
no
Time added
2011-08-31 04:54:40

Description

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.

Similar books