"Models of failures" is a fascinating and in-depth study written by outstanding scientists in the field of probability theory and statistics: Ilya Borukhovych Hertzbach, Chaim Borisovich Kordonsky and B. In. Gnedenko . This book will be a real discovery for anyone interested in mathematical models, data analysis and reliability theory. It not only immerses the reader in the world of refusals and their patterns, but also provides tools for their analysis and prediction. From the first pages, the authors capture the reader's attention, offering a unique look at the problems associated with failures in various systems. The book covers a wide range of topics, including failure statistics, forecasting and modeling techniques, and the application of these models in real life. The reader will be able to learn about how various factors affect the reliability of systems, and how processes can be optimized to minimize risks. This work will be of particular interest to students and professionals in the field of engineering, information technology, as well as to anyone involved in quality and reliability management. Whether you’re passionate about math, statistics, or just want to get a deeper understanding of how complex systems work, “failure models” are what you need. The book is suitable for both beginners and experienced professionals who want to expand their knowledge in this area. The topics raised in the book are relevant and important in today's world, where the reliability of systems is becoming critical. The authors discuss not only theoretical aspects, but also practical applications, which makes the material accessible and understandable. Readers will be able to see how mathematical models can be used to solve real-world problems, which will add additional value to their knowledge. The style of the authors is distinguished by clarity and logical presentation, which makes it easy to assimilate even the most complex concepts. Their experience and authority in the field of probability theory and statistics make this book a reliable source of information. In addition, B. In. Gnedenko is known for his work in the field of probability theory, and his contribution to this book gives it additional significance. If you are looking for similar works, pay attention to books on probability theory, statistics, and reliability, such as "Statistics for Engineers" or "Probability Theory and its Applications" These books will also help you deepen your knowledge and broaden your horizons in data analysis and mathematical modeling. In conclusion, “Rejection Models” is not just a textbook, but a real find for anyone who wants to understand how systems work in conditions of uncertainty. This book is able to change your perception of reliability and failure, providing not only theoretical knowledge, but also practical skills that can be applied in various fields. Do not miss the opportunity to immerse yourself in the world of mathematical models and discover new horizons in data analysis!