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Rating: 
Summary: a student's notes
Review: Authors explain concepts very clearly, but their examples are too easy and problems are too hard compared with the examples. As the result, you read the book, understand everything well, but have no clue how to solve 50% of the problems because authors just never mention how to deal with them. Example? They just touch Chebyshev's inequality briefly, but afterwards you are expected to solve problems that are never mentioned in the book.
Rating: 
Summary: This is a well-organized learning text, and great reference.
Review: I am currently a graduate student in Statistics, and I highly recommend this book to anyone who plans to concentrate in Statistics. Although the level of the text has been rated "difficult" by other reviewers here, I find that it is very clear and complete. For comparison, it is at a lower level than Casella & Berger, but above an introductory text. It covers the methods and theory well, without delving too deeply into overly general/rigorous definitions. I would recommend this text for Mathematics and Engineering students, as well as to students in Statistics as an early text.
Rating:
Summary: Difficult
Review: I am currently taking a graduate course using this text. I find it difficult to work the problems while the examples shown in the text are relatively simple. Further, some of the theory is difficult to follow.I have taken five or more statistics courses, 3 being graduate level and made A's and B's in all of them. I am currently taking another graduate level statistics course that I can understand quite well (with book and lecture). However, I am finding that I am having difficulty staying in this class. If the book was better at explanations and examples, I would quite enjoy this class and feel better about being able to remain in the class.
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