STATISTICAL-PROBABLE MODELING OF RANDOM PROCESSES
Abstract
Operational and tactical calculations, as well as scientific and technical investigations, often involve consideration of random phenomena and processes which can be characterized by statistical parameters calculated as averages of observed (selected) values. The statistical probability modeling method for random processes suggested used the Monte Carlo method as its mathematical base, and the article proceeds to describe its application to two practical examples, one of which is the calculation of the process involved in a missile closing a target; the other reproducing an actual noise process in accordance with the normal distribution law. The mathematical method described involves the use of an electronic computer to obtain the statistical evaluation of characteristics with required accuracy and to reproduce the probability models of the subjects under investigation using experimental data based on distribution laws and correlated ties in the elements of those subjects, without waiting for the development of an analytical theory and the disclosure of the physical content of those subjects.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 11, 1968
- Accession Number
- AD0682169
Entities
People
- A. S. Zhernenko
Organizations
- National Air and Space Intelligence Center