Introduction to Probability, Statistics, and Random Processes

This is a brilliant book whose author has gone out of his way to demystify an hitherto convoluted and obscure subject. Prof Hossein Pishro-Nik is a great teacher both on camera and print. He effortlessly and successfully communicates the fundamentals with such expertise from a student standpoint. His pleasant pedagogy disabuses the dog-eared theorem-lemma of yore. A proper mastery of the first 7 chapters is adequate to provide a solid foundation to explore other advanced realms of probability as applied in different genres of statistics. Buying this book and investing time reading it, doing the exercises and watching the videos on the book's webpage amounts to more than a free intellectual gift to any consumer.

Though there is a freely available online version of the book, sometimes paper version is handy. This book is one of best book if you want to learn from basic to advance topic in Probability and Statistics. The book arrived in expected time in a standard amazon package.

This book explains many concepts in probability in a very simple way, it has many solved examples and many exercises. I would recommend having the solution manual as well for self studying.

This is an excellent text on the topic of probability theory, for those totally new or for those reminding themselves of the basic concepts. The book works from many examples rather than abstract definitions, and includes fully worked questions and answers expanding on the material to give the reader a sense he has really understood the topic. References to useful formulae outside of probability theory are explained in detail rather than assumed to be within the domain of the reader's prior knowledge. I should say the author has made the text available freely online, at [...] However, the book's binding is simply glue on the soft spine, which means you need to use something very heavy to hold the book open on the required page; the natural elasticity pulls the book closed quite strongly. A proper binding would avoid this problem. Alternatively you could break the spine to keep it open. I deduct one star for the poor physical quality of the book. The high quality text really deserves a grander physical manifestation than this.

I’ve finished reading this book , which took me 4 months. Although there are some typos, the overall reading experience was good. This book broadens your scope and opens a door for more in-depth math subjects.

If you give it enough time this book has a lot to offer.

great book fully explained for the layman

My book arrived with many pages half printed. As this is the case for many pages in the book, I have to assume even the most cursory thumb through on book purchase by the seller would have revealed it. I don't have the resources or time off to request a refund on return so they win. Beware.

It's an amazing introduction to probability and statistical inference, if you are looking for a reference that's easy to read and well written this is definitely a great purchase

I bought the book in 2016. At that time there were no enthusiastic reviews. But already at that time I thought that the book was outstanding in detail and clearness presenting probabilistic concepts. I needed a book accompanying a course in probabilistic programming (WebCHURCH, WebPPL). My math-phobic students come from CS and Psychology. As the book is free online there is no excuse for them to avoid reading. As my course is Bayesian I recommend chapters 1-7 and 9. Then I move on with excerpts of Held & Bové's "Applied Statistical Inference: Likelihood and Bayes", Gelman's "Bayesian Data Analysis", or Koller's "Probabilistic Graphical Models".

This book is awesome. I just received this book and is only 3 pages in yet this book have begun shaping my thoughts and understanding for the topic. I am pursuing a BSc Psychology degree with zero knowledge in statistics and probability and this book is perfect for me. The examples given in the book are social science friendly. Majority of other statistics and probability books (including my school textbook) in the market are heavily written for engineering students and require some level of technical and even mechanical understanding, which is rather redundant for social sciences students like myself. There is a free version of this text online but I am a book person and buying this book is worth every cent. Thank you Mr Hossein Pishro-Nik for writing this book!

Excellent book. This is not one of those annoying "theorem, proof, theorem, proof, ... " books that seem to revel in terseness (is trying to be as concise and terse as possible some sort of math nerd thing?). The author gives a clear step by step exposition of the subject matter and goes the extra mile by explaining the intuition behind some of the more counter-intuitive aspects of the subject. If you are completely new to probability theory and want a book that, on the one hand, is not so superficial as to be useless, and, on the other hand, is rigorous and thorough without sacrificing clarity, then I heartily recommend this book.

This book is gold for anyone who is starting to learn probability and statistics. Lot of solved examples covers all the possible points to learning. Definitely one of the book to keep as handy reference.