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Journals / İstatistikçiler Dergisi:İstatistik ve Aktüerya / 2026 / Cilt: 9 Sayı: 1

Statistical Analysis of Terror Events: The Case of Turkey

Terör Olaylarının İstatistiksel Analizi: Türkiye Örneği

Yunus Emre Karamanoğlu
Pages
12–25
Publication Date
2016-06-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, effectiveness of the forecasts obtained from the time series models were given.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:analyzed via time-series approach.
📊
Key Findings & Data:In the analysis; the terror data (Armed Attack, The Mining, Harassing Fire, Using Explosives, Sabotage and Arson) obtained from official sources covering the years 2001-2012 have been used.
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Conclusion & Impact:As a result, effectiveness of the forecasts obtained from the time series models were given.
🔬Design:Modeling & Simulation
📍Scope:2001-2012 Verileri
⚙️Variables:Zaman Serileri Analizi · Türkiye Terör Oranları · Güvenlik

Abstract

analyzed via time-series approach. The purpose of the study is; to put forth the most appropriate time series models for each region and make forecasts for the terror events. In the analysis; the terror data (Armed Attack, The Mining, Harassing Fire, Using Explosives, Sabotage and Arson) obtained from official sources covering the years 2001-2012 have been used. The stationarity of 5 regions has been tested and the most appropriate time series model for each region has been determined. The validity of the obtained time series models has been tested and the official data for 2011 have been compared with the forecasts made. As a result, effectiveness of the forecasts obtained from the time series models were given.

Özet

yaklaşımı ile analiz edilmektedir. Çalışmanın amacı; her bölge için en uygun zaman serisi modelini ortaya

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Cite This Article

Karamanoğlu, Y. E. (2016). Statistical Analysis of Terror Events: The Case of Turkey. İstatistikçiler Dergisi:İstatistik ve Aktüerya, Cilt: 9 Sayı: 1, 12–25. https://ajindex.com/articles/1502754

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