Trend-based criminological forecasting when the quality of the raw data description is insufficient

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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

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