Testing for Collective Statistical Significance in Climate Change Detection Studies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F19%3A00500252" target="_blank" >RIV/68378289:_____/19:00500252 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Testing for Collective Statistical Significance in Climate Change Detection Studies
Original language description
We examined several approaches to detecting statistical significance of trends defined on a grid, that is, on a regional scale. To this end, we introduced a novel simple procedure of significance testing based on counting signs of local trends (sign test), and comparing it with four other approaches to testing collective significance of trends (counting, extended Kendall, Walker, and FDR tests). Synthetic data were used to construct the null distributions of trend statistics and determine critical values of the tests. The application of the five tests to real datasets reveals that outcomes of the tests may differ even though trends are locally significant at the majority of the grid points.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
<a href="/en/project/GA16-04676S" target="_blank" >GA16-04676S: Novel approaches to assessing climatic trends and their statistical significance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů