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
• Alfken ...
• ...

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