Anybody who reads this book must already know
Kabe and Gupta's new Experimental Designs: Exercises and Solutions starts with "an exposition of the basic results which are used throughout the book." But you can't get past page 2 of the Theoretical Results (which admittedly are in summary form with a bibliography for further reading) or past the first of 184 exercises without needing to know what BLUE stands for--it's not defined in the text, and there's no glossary. In contrast, Shao's recent Mathematical Statistics: Exercises and Solutions helpfully spells it out in the index as well as on first appearance in the text, Exercise 38 of 50: best linear unbiased estimator (BLUE). Perhaps not unfair, as the former book is aimed at a slightly more advanced reader, but the latter gets style as well as pedagogical points for this.
Experimental Designs: Exercises and Solutions, by D.G. Kabe and A.K. Gupta. New York: Springer, 2007. Mathematics Library QA279 .K33 2007 Link to MNCAT record
Mathematical Statistics: Exercises and Solutions by Jun Shao. New York; London: Springer, 2005. Mathematics Library QA276 .S4582 2005 Link to MNCAT record