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Rating: 
Summary: A very good book for beginners.
Review: I am a novice. I've been reading some other books of probability before, and I've found that this one is much clearer than the others.
Rating: 
Summary: Poorly writtin and Incomprenhensible.
Review: This book does a very poor job of explaining principles and concepts involved in this subject after chapter number one. This book has examples that are poorly explained and infrequent. The examples seem to consist of one the formulae two the answer with no explanation of the reasoning or the how of the intermediate steps required to obtain the solution. Also example problems are full of subitutions without explanation of these "clever tricks" subistutions. Additionally this work has no given answers to the given problems at the back of the chapters. As all students know trying to solve problems this is essential to check ones work for understanding of the course material and problem questions.
For example I always do some problems at the back chapter and check to see if I have arrived at correct answers. If I do I can assume I have a pretty good understanding of the material. This seems to always work for me.
In summary this books lack of detailed explained examples,lack of details on those examples and lack of answers in the back of the book makes me wonder if the author expects the students to use the ouji board to understand his example problems, the Pshchic friends hotline for the written material and random guess process for the problems at the back of the chapters.
Rating:
Summary: 4.5 stars as an undergraduate textbook for EE students
Review: This book is one of the best undergradute textbooks for EE students, especially students having focus on physical-layer communication engineering. The highlight of this book is the enormous amount of well-written problems at the end of each chapter. These problems really help students fully understand abstract definitions and theorems which otherwise will not be easily cracked. This book, however, has the following drawbacks:
1. The author should have emphasized in the first chapter the importance of real analysis and measure theory in order to motivate the students planning graduate research to study and prepare for the math courses during their undergraduate study.
2. No section for complex Gaussian random variable and vector, which are very important in digital communications.
3. No limit theorems except CLT.
4. No handling of convergence of a random sequence. Even with above drawbacks, this book is still the classic. I recommend ambitious students to read a little bit advanced books along with this book to better understand the subject.
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