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Originating in economics but now used in a variety of disciplines, including medicine, epidemiology and the social sciences, this book provides accessible coverage of the theoretical foundations of the Logit model as well as its applications to concrete problems. It is written not only for economists but for researchers working in disciplines where it is necessary to model qualitative random variables. J.S. Cramer has also provided data sets on which to practice Logit analysis.Read more
- Written not only for economists but for those working in statistics, social sciences and medicine
- Many worked examples
- Large online data set for readers to practise learned techniques
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Review of the hardback: '…the worked examples … will be invaluable for those new to logit analysis.' Short Book Reviews
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- Date Published: December 2004
- format: Adobe eBook Reader
- isbn: 9780511058752
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
2. The binary model
3. Maximum likelihood estimation of the binary logit model
4. Some statistical tests and measures of fit
5. Outliers, misclassification of outcomes, and omitted variables
6. Analyses of separate samples
7. The standard multinomial logit model
8. Discrete choice of random utility models
9. The origins of the logistic function.
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