trend

Exponential smoothing constant determination to minimize the forecast error

One of the fundamental issues in exponential smoothing is to determine the smoothing constants.  Researchers usually use the determination available in the statistical software.  However, the result may not able to minimize the forecast error.  For this study, the optimal values of smoothing constant are based on minimizing the forecast errors, mean absolute percentage error (MAPE) and root mean squared error (RMSE).  The double exponential smoothing method or Holt's method is chosen where two constant values must identify specifically the level and trend estimate, respectively.  The real d

PROSPECTIVE TRENDS OF MULTIFLAT HOUSING IN 2021-2035

The article presents an analytical review of promising trends in apartment housing for the next 15 years. In particular, the following trends have been identified: increasing the role of energy efficiency, reducing housing stories, increasing dwelling diversity, increasing the role of environmental and ethical factors in diversifying housing management, modernization, cooperative building retrieval, appearance housing policy. 

TREND EXTRAPOLATION METHOD FOR QUALITATIVE PROGNOSIS OF THE GLOBAL CYBERSECURITY INDEX IN UKRAINE

In the paper, the research problem of cybersecurity in Ukraine and constituent elements of the cybersecurity global index were considered. The study object is the methods of predicting the indicator of the cybersecurity global index in Ukraine based on the trend extrapolation methods using one dynamic sequence. The purpose of the work is to apply predicting methods to build a prediction of the global cybersecurity index in Ukraine.