Statistical models of sustainable development of predicting complex technical systems
- 1 Dr. Sc. (Eng.), Professor, Moscow Aviation Institute (National Research University)
- 2 Senior Lecturer, Moscow State Aviation Technological University
- 3 Ph. D. (Eng.), Professor, Moscow State Aviation Technological University
Keywords:
forecastforecast modelstabilitystructural choicetrigonometric polynomialforecasting criteriastats
Abstract
Considered are the problems of ensuring stable forecast of development characteristics of complex technical systems such as flying apparatuses. Here stability is understood in terms of independence of forecast estimates from different areas of teaching statistics. Given are criteria of statistical stability of forecast. Generalized basic functions are considered for which model of forecast is built that allow to realize structural choice of forecasting model.
How to cite
Балык В.М., Балык Е.В., Кулакова Р.Д. Статистические модели устойчивого прогнозирования развития сложных технических систем // Наукоемкие технологии. 2016. № 6. С. 53–56.
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