Introduction to Probability and Mathematical Statistics

The book is a good intermediate book. I was able to build off this and reference this book in my other mathematical statistics courses. The quality of the book was as described and it shipped quickly.

This book is great for graduate studies in Probability and Statistics. However, you will need some mathematical maturity because some of the exercises contain mathematical proofs involving Calculus. I must admit that this book could be challenging at times, but that doesn't mean one should degrade the book. I like this book and I highly recommend it. You will obtain a great foundation in Probability and Statistics after using this book. I actually used this book as a text during my undergraduate studies, but I think only advanced undergraduates can handle it.

out of about 10 I've read. It's a must have/must read.

If you want to learn the theory behind Probability and Statistics, this is the book that you would like to start with. Unlike other books titled like "Prob for Engineers" and such, this book develops the theory in a solid layout, including introductions to some advanced topics like order statistics. It also includes a wide range of tables which makes it a good reference book. But, beware. If you are a novice in math or probability, you must avoid this book. This is an intermediate book for a graduate student who has taken a simple introductory probability course in undergrad and wants to pursue more advanced topics. And, in this sense, it does its job very well. Strongly recommended...

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.