Handbook of Probability Theory and Mathematical Statistics by B. C. Korolyuk and his co-authors are an indispensable tool for anyone who seeks a deeper understanding of the world of probabilistic models and statistical methods. This work is not just a collection of formulas and theorems, but also a whole encyclopedia of knowledge that will be useful to both students and professionals in various fields of science and technology. The handbook covers a wide range of topics, ranging from the foundations of probability theory to more complex aspects of mathematical statistics. Here you will find clear and accessible explanations of key concepts such as random variables, distributions, mathematical expectation and variance, as well as methods for testing hypotheses and constructing confidence intervals. Each topic is illustrated with examples, which makes the material more understandable and applicable in practice. The book will be of particular interest to students of mathematical, economic and technical specialties, as well as graduate students and teachers who are looking for a reliable source of information to prepare for classes or research. It will also be useful for professionals working in data analysis, finance, sociology and many other disciplines where statistical methods play a key role. The topics raised in this guide are relevant and important in today's world, where data is becoming a major resource. Understanding probability theory and statistics allows not only to interpret the data correctly, but also to make reasonable predictions, which is critical in conditions of constant uncertainty. The King's Handbook helps the reader not only to master the theoretical aspects, but also to develop the practical skills necessary for analyzing real data. The author's style is distinguished by clarity and logical presentation, which makes complex concepts accessible to understanding. In. C. Korolyuk is a well-known scientist and teacher who has made a significant contribution to the development of probability theory and statistics. His other works, such as Probability Theory and Mathematical Statistics, are also noteworthy and can serve as an excellent addition to this handbook. Readers interested in topics such as "probability models", "statistics analysis", "mathematical statistics", or looking for resources on "data analysis methods" will find in this guide not only useful information, but also inspiration for further study. The book will become a reliable assistant in preparing for exams, writing term papers and diploma papers, as well as in professional activities . Thus, the Handbook of Probability Theory and Mathematical Statistics is not just a book, but a whole world of knowledge that will open up new horizons in understanding probability processes and statistical methods. If you want to confidently navigate the world of numbers and data, this guide will be your faithful companion on the way to success.