Simple Bootstrap Predictor Based on Unit Root Test for Autoregressive Processes
The Gaussian-based predictors for time series work reasonably well when the underlying distributional assumption holds. An alternative method is the bootstrap approach which does not assume a Gaussian error distribution. Recent work of Cai and Davies [1] presented a simple and model-free bootstrap m...
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Main Authors: | Wararit Panichkitkosolkul, Kamon Budsaba |
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Format: | บทความวารสาร |
Language: | English |
Published: |
Science Faculty of Chiang Mai University
2019
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Online Access: | http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8823 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64052 |
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Institution: | Chiang Mai University |
Language: | English |
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