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
ABI
Аннотация
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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