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MODEL SELECTION, DATA SPLITTING FOR ARMA TIME SERIES AND VISUALIZING SOME BOOTSTRAP CONFIDENCE REGIONS

ARMA model selection with criterion such as AIC and BIC tends not to select a consistent ARMA model with high probability. Hence data splitting is not reliable. One technique was fairly reliable with large sample sizes, and a modification also worked.The DD plot for visualizing prediction regions can also be used to visualize three bootstrap confidence regions.

Identiferoai:union.ndltd.org:siu.edu/oai:opensiuc.lib.siu.edu:dissertations-3171
Date01 August 2023
CreatorsWelagedara, Welagedara Arachchilage Dhanushka Madumali
PublisherOpenSIUC
Source SetsSouthern Illinois University Carbondale
Detected LanguageEnglish
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Formatapplication/pdf
SourceDissertations

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