Statistical modeling in combating randomity in the life cycle of rocket technology

The One of the important methods used in the design of rocketry is statistical modeling. An innovative approach to the study of the results of statistical modeling using wavelet analysis made it possible to analyze thousands of virtual launches of a projected rocket in an unusually efficient way to test its control system. This paper considers the question: is it possible to use statistical modeling and a powerful mathematical apparatus to analyze its results at other stages of the life cycle of rocket technology and what can this give? The solution should obviously be sought on the basis of modern concepts of computer support for the life cycle of missile technology and, first of all, this refers to the concept of digital twins. If for such stages of the life cycle as design and testing, the use of statistical modeling and tools for its analysis does not raise questions, then in the task of using missile technology, for example, for coastal defense, the need for statistical modeling does not seem so obvious. It is common practice to simulate the most likely scenarios, which leaves a lot of room for all sorts of accidents that may arise in a real combat situation. The use of statistical modeling will allow early identification of such threats or opportunities, which will provide a higher level of preparedness to repel an attack. Obviously, the more accurate models of digital twins of both offensive weapons and missile technology used for defense we have, the more reliable the result will be. However, statistical modeling does not require all the information about the digital twin, in particular, the visual one. Therefore, it will be important to outline those sets of data on digital twins that are necessary for statistical modeling at the stages of design, testing and application of rocket technology.