Interpreting probability models
Tim Futing Liao
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Interpreting probability models
Published
1994
Publisher
Sage
Pages
88
ISBN-10
0803949995
Description
"What is the probability that something will occur, and how is that probability altered by a change in some independent variable? Aimed at answering these questions, Liao introduces a systematic way for interpreting a variety of probability models commonly used by social scientists. Since much of what social scientists study are measured in noncontinuous ways and thus cannot be analyzed using a classical regression model, it is necessary for scientists to model the likelihood (or probability) that an event will occur. This book explores these models by reviewing each probability model and by presenting a systematic way for interpreting results. Beginning with a review of the generalized linear model, the book covers binary logit and probit models, sequential logit and probit models, ordinal logit and probit models, multinomial logit models, conditional logit models, and Poisson regression models."--Pub. desc.
A generalization of the logit transformation
A comparison of multivariate logit and translog models for input demand studies
Polytomous logit estimation by weighted least squares
A computer program for logit-log transformation and linear regression analysis of concentration-dependent biological and chemical responses
Evaluating nonindustrial private landowners for forestry assistance programs
Analysis of the binary regression model
Frequently Asked Questions
How many pages are in Interpreting probability models?
This edition of Interpreting probability models has approximately 88 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Interpreting probability models?
For most readers, Interpreting probability models typically takes between 1h 50m and 1h 13m to complete. This is based on the book's length of approximately 22,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 1h 28m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 3 days • Estimated word count: 22,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Interpreting probability models?
The estimated word count for Interpreting probability models is approximately 22,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Interpreting probability models?
Interpreting probability models was written by Tim Futing Liao.
When was Interpreting probability models published?
The publication date for this specific edition is 1994. The original work may have been published on a different date.