Volume I presents fundamental, classical statistical concepts at the doctorate
level without using measure theory. It gives careful proofs of major results and
explains how the theory sheds light on the properties of practical methods.
Volume II covers a number of topics that are important in current measure theory
and practice. It emphasizes nonparametric methods which can really only be
implemented with modern computing power on large and complex data sets. In
addition, the set includes a large number of problems with more difficult ones
appearing with hints and partial solutions for the instructor.