I am currently a second-year graduate student in statistics. I have taken the course with the textbook Statistical inference by George Casella and Roger L. Berger.
I have learned some basic concepts such as sufficient statistics, complete sufficient statistics, UMVUE and etc. Though I found all these concepts are in one-dimensional case in this book. Can anyone recommend a book that covers these concepts in a multivariate or high dimensional case? Especially, a textbook with practice questions and a solution manual is preferred.