Modern Problems of Mathematics of Mechanics . T. 4 Mathematics . Issue. 3 Probability Theory and Mathematical Statistics" is not just a textbook or a collection of scientific articles, but a real guide to the fascinating and complex world of modern mathematical methods that underlie the analysis and modeling of real processes. Created by a team of authors, this work is an in-depth study of topical issues of probability theory and mathematical statistics, which today play a key role in various fields of science and technology. This book is intended for those who seek to understand how modern mathematical tools help solve complex problems in mechanics, physics, engineering, economics, and even in the biological sciences. It is ideal for senior students, graduate students, teachers and researchers looking for fresh ideas and new approaches to the application of probability theory in practical problems. The book will also be of interest to a wide range of curious readers who want to expand their knowledge in the field of mathematical statistics and understand how these disciplines help to model uncertainty and analyze random processes. The peculiarity of this work is not only the theoretical depth, but also the practical orientation .. It examines in detail modern methods of estimation, data analysis and construction of probabilistic models, which makes it a valuable resource for those who are engaged in applied mathematics or work with large amounts of information. The book covers current topics such as probabilistic distributions, methods for estimating parameters, theorems of large numbers, distribution laws and their application in mechanics and engineering calculations. Particular attention is paid to modern statistical models that allow analyzing complex systems and predicting their behavior in conditions of uncertainty. The style of the authors is distinguished by clarity and logical harmony, which makes even complex mathematical concepts accessible to the reader. The book contains rich illustrative material, examples from practice and modern algorithms, which contributes to a deeper understanding of the material and its practical application. The author's team, known for its research and publications in the field of mathematics and mechanics, uses a living language in its explanations, avoiding unnecessary formality, which makes reading not only useful, but also fascinating. If you are already familiar with the previous volumes of the series or are looking for a book that combines theory and practice, then "Modern Problems of Mathematics Mechanics. T. 4 Mathematics . Issue. 3 Probability Theory and Mathematical Statistics” will be a valuable source of knowledge for you This book is the result of modern research and analytical work that will help to understand how mathematics helps solve real problems related to uncertainty and randomness. It raises important topics related to the modeling of random processes, data analysis and forecasting, which makes it an indispensable tool for professionals seeking professional development and expansion of their horizons. In general, this book is not only a textbook, but also a source of inspiration for those who want to understand how modern mathematical methods help to make the world better, more accurate and predictable. It is worth reading to anyone interested in mathematics, mechanics and their intersections, as well as those who are looking for new ideas for research or professional projects. Modern Problems of Mathematics Mechanics . T. 4 Mathematics . Issue. Probability Theory and Mathematical Statistics is a book that will expand your horizons and open up new opportunities for analyzing and modeling complex systems.