Trend-based criminological forecasting when the quality of the raw data description is insufficient
Автор: Demenchenok O.G., Baranov S.A.
Журнал: Вестник Восточно-Сибирского института Министерства внутренних дел России @vestnik-vsi-mvd
Рубрика: Уголовно-правовые науки (юридические науки)
Статья в выпуске: 1 (108), 2024 года.
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Introduction: It is noted that criminological forecasting based on the trend model, having a number of indisputable advantages in comparison with other types of criminological forecasting, has significant disadvantages - the impossibility of ensuring the specified accuracy of the forecast, as well as limited forecasting capabilities in case of insufficient accuracy of the description of the observed data. The article explores the possibilities of improving the quality of data description when building trend models.
Criminological forecasting, coefficient of determination, abnormal data
Короткий адрес: https://sciup.org/143182327
IDR: 143182327 | DOI: 10.55001/2312-3184.2024.88.52.014