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Journals / Gazi University Journal of Science / 2026 / Volume: 25 Issue: 2

Residual Types in Time Series and Their Applications

Mehmet Güray Ünsal
Reşat Kasap
Pages
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Publication Date
2012-04-16
DOI
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AI Summary & Key Takeaways

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

Then a simulation study was conducted to show differences in decisions when different residual types were considered in diagnostic checking.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Residual types in time series has not been investigated throughly in literature.
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Key Findings & Data:This study aims to provide practical applications of residual types.
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Conclusion & Impact:Then a simulation study was conducted to show differences in decisions when different residual types were considered in diagnostic checking.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Time Series Analysis · Residual Types · Diagnostic Checking

Abstract

Residual types in time series has not been investigated throughly in literature. This study aims to provide practical applications of residual types. In this study, firstly, basic information about different types of residuals was given and some features of the residuals were investigated with numerical applications . Then a simulation study was conducted to show differences in decisions when different residual types were considered in diagnostic checking.

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Cite This Article

Ünsal, M. G., Kasap, R. (2012). Residual Types in Time Series and Their Applications. Gazi University Journal of Science, Volume: 25 Issue: 2. https://ajindex.com/articles/1269820

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