Books that I'd like to use for textbooks.
- Model Selection and Multi-Model Inference by Burnham and Anderson
- Elements of Information Theory by Cover and Thomas
- Linear Regression Analysis by Seber and Lee
- Elements of Large-Sample Theory by Lehmann
- A Course in Large Sample Theory by Ferguson
- All of Statistics by Wasserman
- Digital Signal Processing by Proakis and Manolakis
- An Introduction to Modern Astrophysics by Carroll and Ostilie
- An Introduction to Modern Cosmology by Liddle
- Statistical Signal Processing and Modeling
- Mathematical Statistics by Shao
- Statistical Inference by Casella and Berger
- Bayesian Data Analysis by Gelman, Carlin, Stern, and Rubin
- Financial Data Analysis by
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- Alfken ...
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Books that I didn't like for textbooks.
- Design of Experiments: Statistical Principles of Research Design and
Analysis by Kuehl
- Applied Regerssion Including Computing and Graphics by Cook and Weisberg
- Probability and Statistical Inference by Hogg and Tanis
- Probability and Staitstics for Engineering and the Sciences by Devore