## Introduction:

"All of Statistics: A Concise Course in Statistical Inference" by Larry Wasserman is a highly recommended book that provides a comprehensive understanding of statistical inference. It is a valuable resource for both beginners and experienced statisticians due to its clear explanations and well-organized structure.

## Content and Writing Style:

Larry Wasserman's writing style is clear, concise, and engaging. The book covers fundamental statistical concepts, statistical inference, parametric and nonparametric methods, and Bayesian methods. Wasserman strikes a balance between theory and application, making the material accessible without compromising depth and rigor. Practical examples and real-world datasets enhance the learning experience, allowing readers to apply statistical concepts effectively.

## Ratings and Reviews:

With a rating of 4.4 stars out of 5, based on 199 ratings, and accompanied by 72 reviews, "All of Statistics" has received positive feedback from readers. It is praised for its clarity, comprehensiveness, and practical approach to statistical inference. Many readers consider it an indispensable resource for students, practitioners, and researchers in the field of statistics.

## Feedback from Readers

“All of Statistics: A Concise Course in Statistical Inference” has received an impressive rating of 199 with 72 reviews and 4.4 stars. Many readers appreciated the author for providing an overview of machine learning. A 5 star review by a reader is:

“A concise and well balanced book amalgamating theory and applications. Great and clear examples for application of the theory and exercises to grow more in depth understanding.”

According to the feedback, we can decide the pros and cons of this book that may help to know more about this product.

### Pros

- This book is essentially a summary of the major theoretical topics in statistics, at an introductory level.
- The subjects covered are a compromise between the practical side of classical statistics and the modern methods of machine learning.
- This book is an excellent book for the people who want to know statistics in a short time.
- It is a good book for reference as there are lots of references after each chapter to look up for greater depth.
- This is a good choice for a computer scientist who is getting into statistics for the first time or needs a refresher. It would also be a very good choice for self study.
- The text book is small but the content is very concise as stated in the title.

### Cons

- This is a reference and it is not a book for learning the material.
- This book is not for beginners. If you don’t have any basic idea of statistics, you can’t understand concepts from this book.
- There is a printing issue both in the paperback and etextbook format. The mathematical typesetting creates trouble in the display. The formulas are broken up into characters and spread over many lines.

## Price and Formats:

The book is available in multiple formats. The hardcover edition is priced at $67.82, the paperback edition at $45.38, and the eTextbook version at $20.87. Please note that prices are subject to change, so it's advisable to verify the current prices on the respective platforms.

## Conclusion:

"All of Statistics: A Concise Course in Statistical Inference" by Larry Wasserman is an exceptional book that provides a comprehensive understanding of statistical inference. Its clear writing style, well-structured content, and practical examples make it a valuable resource for anyone seeking to learn or expand their knowledge of statistics. Whether you are a student, a practitioner, or a researcher, this book will undoubtedly be a valuable addition to your library.

Note: Prices mentioned are subject to change. Please verify the current prices on the respective platforms.