Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis

Climatic phenomena such as the El-Niño-southern oscillation and the north Atlantic oscillation are results of complex interactions between atmospheric and oceanic processes. Understanding the interactions has enabled scientists to give early warning of t

Bibliographic Details
Published in:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Main Authors: Salim, Agus, Pawitan, Yudi, Bond, K
Format: Article in Journal/Newspaper
Language:unknown
Published: Blackwell Publishing Ltd
Subjects:
Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
North Atlantic
North Atlantic oscillation
Online Access:http://hdl.handle.net/1885/80235
https://doi.org/10.1111/j.1467-9876.2005.05300.x
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg
id ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/80235
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spelling ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/80235 2024-01-14T10:08:54+01:00 Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis Salim, Agus Pawitan, Yudi Bond, K http://hdl.handle.net/1885/80235 https://doi.org/10.1111/j.1467-9876.2005.05300.x https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg unknown Blackwell Publishing Ltd 0035-9254 http://hdl.handle.net/1885/80235 doi:10.1111/j.1467-9876.2005.05300.x https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg Journal of the Royal Statistical Society Series C Keywords: Canonical covariance Climate changes Incomplete data Mixed models Partial least squares Smoothing Journal article ftanucanberra https://doi.org/10.1111/j.1467-9876.2005.05300.x 2023-12-15T09:36:22Z Climatic phenomena such as the El-Niño-southern oscillation and the north Atlantic oscillation are results of complex interactions between atmospheric and oceanic processes. Understanding the interactions has enabled scientists to give early warning of t Article in Journal/Newspaper North Atlantic North Atlantic oscillation Australian National University: ANU Digital Collections Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 3 555 573
institution Open Polar
collection Australian National University: ANU Digital Collections
op_collection_id ftanucanberra
language unknown
topic Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
spellingShingle Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
Salim, Agus
Pawitan, Yudi
Bond, K
Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
topic_facet Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
description Climatic phenomena such as the El-Niño-southern oscillation and the north Atlantic oscillation are results of complex interactions between atmospheric and oceanic processes. Understanding the interactions has enabled scientists to give early warning of t
format Article in Journal/Newspaper
author Salim, Agus
Pawitan, Yudi
Bond, K
author_facet Salim, Agus
Pawitan, Yudi
Bond, K
author_sort Salim, Agus
title Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_short Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_full Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_fullStr Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_full_unstemmed Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_sort modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
publisher Blackwell Publishing Ltd
url http://hdl.handle.net/1885/80235
https://doi.org/10.1111/j.1467-9876.2005.05300.x
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Journal of the Royal Statistical Society Series C
op_relation 0035-9254
http://hdl.handle.net/1885/80235
doi:10.1111/j.1467-9876.2005.05300.x
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg
op_doi https://doi.org/10.1111/j.1467-9876.2005.05300.x
container_title Journal of the Royal Statistical Society: Series C (Applied Statistics)
container_volume 54
container_issue 3
container_start_page 555
op_container_end_page 573
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