FROM REVIEWS of Large Sample Techniques for Statistics:
"Each chapter is supplemented by a series of exercises. ... The book
clearly helps the beginner to learn the foundations and techniques of
large sample theory in statistics in part one, provides an outline of
more advanced tools in part two and gives an impressions of the flavor
of their applicability in part three. It is very suitable as a survey
of and a guide to the addressed topics" (Erich Haeusler,
Mathematical Reviews, Issue 2011 k)
"Jiming Jiang's book on large sample techniques is a very welcome
addition to the literature. Its strong points include the breadth of
covered material, choice of relevant and interesting topics, lucid
and attractive style of presentation, and sound pedagogical aspects.
... Along with its excellent coverage of the fundamentals in its
initial chapters, the book addresses a number of important topics in
the latter half as well. ... All in all, Large Sample Techniques
in Statistics is an excellent book that I recommend
whole-heartedly." (Moulinath Banerjee, Journal of the
American Statistical Association, Vol. 106 (496), December,
2011)
"A book on techniques for large samples in statistics is timely.
... Anyone with a background in... mathematical statistics can benefit
from the very thorough nature of the book. The author is systematic and
detailed in the developing of each topic and utilizes examples and
cases to illustrate the practical import of each concept. ... I found
the book quite enlightening as the author again and again pointed out
the confusions and misinterpretations that often arise in the context
of common applications ..." (Mark A. McComb, Technometrics,
Vol. 54 (1),February, 2012)