A note on analysis of extreme minimum temperatures with the GAMLSS framework

Estimation of return levels, based on extreme value distributions, is of importance in the earth and environmental sciences. To incorporate non-stationarity in the modelling, the statistical framework of generalised additive models for location, scale and shape is an option, providing flexibility an...

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Main Author: Rydén, Jesper
Format: Article in Journal/Newspaper
Language:Swedish
English
Published: 2019
Subjects:
10106 Probability Theory and Statistics
Oceanography
Hydrology
Water Resources
Northern Sweden
Online Access:https://pub.epsilon.slu.se/16566/
https://pub.epsilon.slu.se/16566/1/ryden_j_200220.pdf
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spelling ftslunivuppsala:oai:pub.epsilon.slu.se:16566 2023-05-15T17:44:30+02:00 A note on analysis of extreme minimum temperatures with the GAMLSS framework Rydén, Jesper 2019 application/pdf https://pub.epsilon.slu.se/16566/ https://pub.epsilon.slu.se/16566/1/ryden_j_200220.pdf sv eng swe eng https://pub.epsilon.slu.se/16566/1/ryden_j_200220.pdf Rydén, Jesper (2019). A note on analysis of extreme minimum temperatures with the GAMLSS framework. Acta Geophysica. 67 , 1599-1604 [Research article] cc_by_4 CC-BY 10106 Probability Theory and Statistics Oceanography Hydrology Water Resources Research article PeerReviewed 2019 ftslunivuppsala 2022-01-09T19:14:58Z Estimation of return levels, based on extreme value distributions, is of importance in the earth and environmental sciences. To incorporate non-stationarity in the modelling, the statistical framework of generalised additive models for location, scale and shape is an option, providing flexibility and with a wide range of distributions implemented. With a large set of selections possible, model choice is an issue. As a case study, we investigate annual minimum temperatures from measurements at a location in northern Sweden. For practical work, it turns out that care must be taken in examining the obtained distributions, not solely relying on information criteria. A simulation study illustrates the findings. Article in Journal/Newspaper Northern Sweden Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive
institution Open Polar
collection Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive
op_collection_id ftslunivuppsala
language Swedish
English
topic 10106 Probability Theory and Statistics
Oceanography
Hydrology
Water Resources
spellingShingle 10106 Probability Theory and Statistics
Oceanography
Hydrology
Water Resources
Rydén, Jesper
A note on analysis of extreme minimum temperatures with the GAMLSS framework
topic_facet 10106 Probability Theory and Statistics
Oceanography
Hydrology
Water Resources
description Estimation of return levels, based on extreme value distributions, is of importance in the earth and environmental sciences. To incorporate non-stationarity in the modelling, the statistical framework of generalised additive models for location, scale and shape is an option, providing flexibility and with a wide range of distributions implemented. With a large set of selections possible, model choice is an issue. As a case study, we investigate annual minimum temperatures from measurements at a location in northern Sweden. For practical work, it turns out that care must be taken in examining the obtained distributions, not solely relying on information criteria. A simulation study illustrates the findings.
format Article in Journal/Newspaper
author Rydén, Jesper
author_facet Rydén, Jesper
author_sort Rydén, Jesper
title A note on analysis of extreme minimum temperatures with the GAMLSS framework
title_short A note on analysis of extreme minimum temperatures with the GAMLSS framework
title_full A note on analysis of extreme minimum temperatures with the GAMLSS framework
title_fullStr A note on analysis of extreme minimum temperatures with the GAMLSS framework
title_full_unstemmed A note on analysis of extreme minimum temperatures with the GAMLSS framework
title_sort note on analysis of extreme minimum temperatures with the gamlss framework
publishDate 2019
url https://pub.epsilon.slu.se/16566/
https://pub.epsilon.slu.se/16566/1/ryden_j_200220.pdf
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://pub.epsilon.slu.se/16566/1/ryden_j_200220.pdf
Rydén, Jesper (2019). A note on analysis of extreme minimum temperatures with the GAMLSS framework. Acta Geophysica. 67 , 1599-1604 [Research article]
op_rights cc_by_4
op_rightsnorm CC-BY
_version_ 1766146738273386496

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