Mathematical Statistics: Exercises and Solutions
| Author | : | |
| Rating | : | 4.29 (709 Votes) |
| Asin | : | 0387249702 |
| Format Type | : | paperback |
| Number of Pages | : | 360 Pages |
| Publish Date | : | 2014-06-04 |
| Language | : | English |
DESCRIPTION:
Most of the exercises (over 95%) are introduced in the cited textbook. These solutions will certainly help students to a better understanding of the many complicated issues in the theory. It is written very rigorously and solutions are presented in detail. … The collection is a stand-alone book. The list of 26 distributions given at the beginning will also be useful for ready reference.” (Mausumi Bose, Sankhya, Vol. It will be useful to their teachers as a source of solved exercises. It can be recommended as a source of solved problems for teachers and students of advanced mathematical statistics." (EMS Newsletter, June, 2006). degree, by helping them to develop problem solving skills … . … Using both however, the textbook and the exercise book, the mathematical statistician will enjoy the wealth of
Suitable for self-study for a statistics Ph.D. qualifying exam.. Can also be used as a stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book. The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics
Jun Shao is Professor of Statistics at the University of Wisconsin, Madison.
Derivative, decontextualized dictionary of theorems Having read through all chapters in this book extensively, I can say that it is very poor both as an instructional material for higher level math stat and also poor as a reference. While many reviews consider this to be a "rigorous" and "precise" textbo. a measure-theoretic based introduction to statistics Todd Ebert This book has all the ingredients of what in my opinion constitutes an excellent mathematics text: rigorous, concise,self-contained, clear, and taking an abstract point of view. Note however that, due to the latter ingredient, the author studies statist. Worth the time reading Very readible, precise and concise treatment of statistics. Requires mathematical maturity. Although it doesn't require a background in measure theory, some familiarity (or willingness to learn) would be really helpful (Ch. 1 provides an overview of mea