Construction of prediction intervals for Palmer Drought Severity Index using bootstrap

In this study, we propose an approach based on the residual-based bootstrap method to obtain valid prediction intervals using monthly, short-term (three-months) and mid-term (six-months) drought observations. The effects of North Atlantic and Arctic Oscillation indexes on the constructed prediction...

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Published in:Journal of Hydrology
Main Author: Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E.
Language:English
Published: Elsevier B.V. 2018
Subjects:
Online Access:http://hdl.handle.net/11772/3348
https://doi.org/10.1016/j.jhydrol.2018.02.021
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spelling ftbartinuniv:oai:acikerisim.bartin.edu.tr:11772/3348 2023-05-15T15:00:09+02:00 Construction of prediction intervals for Palmer Drought Severity Index using bootstrap Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E. 2018 http://hdl.handle.net/11772/3348 https://doi.org/10.1016/j.jhydrol.2018.02.021 eng eng Elsevier B.V. doi:10.1016/j.jhydrol.2018.02.021 00221694 http://hdl.handle.net/11772/3348 559 461 470 Journal of Hydrology 2018 ftbartinuniv https://doi.org/10.1016/j.jhydrol.2018.02.021 2021-06-09T19:48:31Z In this study, we propose an approach based on the residual-based bootstrap method to obtain valid prediction intervals using monthly, short-term (three-months) and mid-term (six-months) drought observations. The effects of North Atlantic and Arctic Oscillation indexes on the constructed prediction intervals are also examined. Performance of the proposed approach is evaluated for the Palmer Drought Severity Index (PDSI) obtained from Konya closed basin located in Central Anatolia, Turkey. The finite sample properties of the proposed method are further illustrated by an extensive simulation study. Our results revealed that the proposed approach is capable of producing valid prediction intervals for future PDSI values. © 2018 Elsevier B.V. Other/Unknown Material Arctic North Atlantic Bartin University: DSpace@Bartin Arctic Journal of Hydrology 559 461 470
institution Open Polar
collection Bartin University: DSpace@Bartin
op_collection_id ftbartinuniv
language English
description In this study, we propose an approach based on the residual-based bootstrap method to obtain valid prediction intervals using monthly, short-term (three-months) and mid-term (six-months) drought observations. The effects of North Atlantic and Arctic Oscillation indexes on the constructed prediction intervals are also examined. Performance of the proposed approach is evaluated for the Palmer Drought Severity Index (PDSI) obtained from Konya closed basin located in Central Anatolia, Turkey. The finite sample properties of the proposed method are further illustrated by an extensive simulation study. Our results revealed that the proposed approach is capable of producing valid prediction intervals for future PDSI values. © 2018 Elsevier B.V.
author Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E.
spellingShingle Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E.
Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
author_facet Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E.
author_sort Beyaztas, U. and Bickici Arikan, B. and Beyaztas, B.H. and Kahya, E.
title Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
title_short Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
title_full Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
title_fullStr Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
title_full_unstemmed Construction of prediction intervals for Palmer Drought Severity Index using bootstrap
title_sort construction of prediction intervals for palmer drought severity index using bootstrap
publisher Elsevier B.V.
publishDate 2018
url http://hdl.handle.net/11772/3348
https://doi.org/10.1016/j.jhydrol.2018.02.021
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
genre_facet Arctic
North Atlantic
op_source Journal of Hydrology
op_relation doi:10.1016/j.jhydrol.2018.02.021
00221694
http://hdl.handle.net/11772/3348
559
461
470
op_doi https://doi.org/10.1016/j.jhydrol.2018.02.021
container_title Journal of Hydrology
container_volume 559
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