автокореляція

Crime rate forecasting is a critical element in the development of strategies for sustainable socio-economic growth in a rule-of-law state. Accurate forecasting becomes particularly important in times of economic instability and geopolitical crises, as is the case in Ukraine. This article explores the problem of constructing and applying autoregressive integrated moving average (ARIMA) models to predict the total number of crimes committed in Ukraine.

Analysis of the debris flow formation factors which cause the long-term activity of debris flows is made. The methodology of the debris flows prediction subject to meteorological, hydrological, seismic, heliophysical factors is proposed. The regularities of long-term seasonality of these factors by using autocorrelation and spectral analysis are revealed. The integral rate of probability of debris flow intensification is calculated. The time series of this integral rate is extrapolated and the following peak of debris flows activation is predicted.

Complex signals are used typically for solving electromagnetic compatibility of radio electronic devices, stable and efficient in their work under intense action of active and passive noise. Using complex signals with linear frequency modulation (LFM), in particular, provides higher resolution than the range and the speed, and can significantly improve information radio.