Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
Tim Futing Liao
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.
類別:
體積:
101
年:
1994
版本:
1
出版商:
Sage Publications, Inc
語言:
english
頁數:
88
ISBN 10:
0803949995
系列:
Quantitative Applications in the Social Sciences
文件:
CHM, 265 KB
IPFS:
,
english, 1994
Amazon 
Barnes & Noble 
Bookshop.org 
轉換文件
更多的搜索結果
其他特權 
相關書單
