Statistical Models by David Freedman
Theory and Practice
A clear, practice-oriented introduction to statistical modeling that combines mathematical foundations with real-world case studies, showing how regression and related methods can inform—but also mislead—analysis. It explains least squares, likelihood, logistic and Poisson models, interpretation of parameters, diagnostics, and model selection, while stressing assumptions, data quality, and the gap between association and causation. Throughout, it teaches readers to validate models, recognize confounding and specification errors, and favor careful design and randomization when making causal claims.
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- Published
- 2005
- Nationality
- American
- Length
- Unknown
- Pages
- Unknown
- Original Language
- English
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