Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)
Interpreting Probability Models presents logit, probit, and other generalized linear models within a quantitative social science context. It is designed for readers seeking to understand probability models and their interpretation, making it a focused resource for statistical and mathematical applications.
About This Book
Interpreting Probability Models introduces readers to logit, probit, and other generalized linear models.
The book focuses on understanding and interpreting probability models in quantitative applications.
Its subject matter connects statistical modeling with the social sciences.
This edition is offered as a used book in good condition.
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