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Using ARIMA model to forecast the Reported Crimes in Libya from 2020 to 2025

Year: 2022

Type: article

Abstract: A time series is a collection of data that was compiled chronologically. Most time series can be predicted based on their present and historical values. Software programs like SPSS and Minitab are made specifically to process time series data. The SPSS and Minitab software programs can be used to create the autoregressive integrated moving average (ARIMA) model, a time series forecast technique. In this paper, the forecasting process using the ARIMA model is illustrated using the SPSS and Minitab software. For instance, the predicted period for reported crimes (RC) in Libya is from 2020 to 2026.

Source: Libya Journal of Applied Sciences and Technology

DOI: 10.67652/ljast.v10i2.94

Author: Adel Ewhida

Institution: University of Tripoli

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W7202046697

FWCI:

Cites: 2

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Related to: 10