Statistical models for forecast of “quality of the day” for the category of facilities of meteo-dependent people
Kabiljanov Aleksandr SabitovichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Providing Information Security department,Tashkent,UzbekistanNazarov Alisher IskenderovichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Computer systems department,Tashkent,UzbekistanUmerov Hikmet UseinovichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Scientific Research Center for Information and Communication Technologies,Tashkent,UzbekistanIbrokhimov Bakhrom SobirjonovichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Correspondence department,Tashkent,Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
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In this paper the questions of constructing three types of statistical models for forecasting the “quality of the day” for the category of facilities of meteo-dependent people with problems of the cardiovascular system are considered. A comparative analysis of the obtained statistical models is carried out according to two criteria: adequacy, computational costs.
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