I'd like to know an introduction to classical statistics, that:
- Emphasizes connections and unifying principles (I checked this question and the links posted therein, but didn't find an introduction textbook)
- Concisely presents the solid basics of core techniques and concepts, like: linear regression, MLE, hypothesis test, confidence interval, unbiasedness, consistency, sufficiency, etc. (pretty much like the point 2 & 3 here, but I am not a mathematician)
- At a level between a first and a second course (or a first course for an honors class?)
- And preferably, briefly introduces some modern computation-intensive techniques, maybe through code (like R).
For some background and books have looked at, see this post.