Introduction to Probability, Statistics, and Random Processes Book Review

Get a detailed review of 'Introduction to Probability, Statistics, and Random Processes,' unraveling essential concepts and insights.

Alan Walker-

Published on 2023-06-15


In the realm of statistics, finding a well-rounded resource that covers the essentials while engaging readers can be a challenge. However, "Introduction to Probability, Statistics, and Random Processes" by Hossein Pishro-Nik rises to the occasion, providing a comprehensive and accessible guide to these fundamental concepts. In this review, we will delve into the strengths of this book, highlighting its educational value and user-friendly approach.

Content and Structure:

Pishro-Nik's book offers a carefully structured exploration of probability, statistics, and random processes, making it suitable for beginners and intermediate learners alike. The author's approachable writing style ensures that complex topics are presented in a digestible manner, empowering readers to grasp concepts without feeling overwhelmed.

One of the book's standout features is its organization. Pishro-Nik systematically introduces the foundations of probability, statistical inference, and random processes, ensuring a logical flow of knowledge acquisition. This structure enables readers to build a solid understanding of each concept before progressing to more advanced topics. Furthermore, the inclusion of relevant examples and exercises throughout the chapters enhances the learning experience, enabling readers to apply what they've learned in real-world scenarios.

Clear Explanations and Visual Aids:

The book excels at providing clear explanations of statistical concepts, even for those without a strong mathematical background. Pishro-Nik utilizes plain language and avoids excessive technical jargon, making the content accessible to a wide range of readers.

Additionally, the inclusion of visual aids such as graphs, diagrams, and illustrations further enhances comprehension. These visuals effectively supplement the text, offering a visual representation of key ideas and facilitating a deeper understanding of statistical concepts.

Relevance and Practical Applications:

"Introduction to Probability, Statistics, and Random Processes" recognizes the importance of connecting theoretical knowledge with practical applications. Pishro-Nik consistently emphasizes the relevance of statistics in various fields, including engineering, computer science, and social sciences. This emphasis on real-world applications helps readers appreciate the practical value of the subject matter, making it easier to grasp and retain the concepts.

Feedback From Readers

This book has received an impressive rating of 4.6/5.0 based on 79 reviews. It means that the book is getting positive reviews from the readers especially from the engineering and finance students. This book mostly received positive feedback as it is a good and useful book on statistics for beginners. An amazing feedback form a book read is;

“This book is awesome. I just received this book and it is only 3 pages in yet this book has 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!”

Let’s break down the feedback into pros and cons of this book. 


Based on the positive reviews from the readers of this books, the pros are listed below,

  1. This textbook on probability is very simple and gradual. It starts with describing sets and slowly moves into probability. It assumes you know nothing about it from the beginning but appears to be thorough. 
  2. This book has clear and concise explanations of complex concepts. Moreover, the author's writing style makes it accessible to readers with varying levels of mathematical background.
  3. 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.
  4. One of the most useful review from the reader is,


Besides the positive reviews, let’s know the cons of this book. Although this book has received just a few negative reviews which are:

  1. This book contains difficultly explained concepts that make it impossible to follow for some readers.
  2. The book is fine for researching and referencing probability and statistics at an experienced level. But you can’t expect a careful explanation of the fundamentals with options for improved terminology for the field.
  3. A reader says that we had to use the internet to understand some of the concepts from this book. 

Price and Format:

Available in paperback format, this book is attractively priced at $34.59, offering excellent value for the wealth of knowledge it provides. Its affordability, combined with the book's comprehensive content, makes it a compelling choice for students, self-learners, and professionals seeking to solidify their understanding of probability, statistics, and random processes.


In conclusion, "Introduction to Probability, Statistics, and Random Processes" by Hossein Pishro-Nik is a highly recommended resource for anyone looking to delve into the world of statistics. With its comprehensive coverage, accessible writing style, and emphasis on practical applications, this book serves as an invaluable tool for building a strong foundation in statistics. Whether you're a student, a professional, or simply curious about the subject, this book is sure to enhance your understanding and appreciation of probability, statistics, and random processes.

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