Euclidean distance based permutation methods in atmospheric science

DOI10.1023/A:1009824531876zbMath1012.62117OpenAlexW1518273137MaRDI QIDQ5959669

Kenneth J. Berry, Paul W. jun. Mielke

Publication date: 24 June 2003

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1009824531876

zbMATH Keywords

predictiondistribution-freepermutationregressioninferencenonparametricagreementautoregressive patternscyclic dataexperimental designsmultivariateresidual analysis

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Meteorology and atmospheric physics (86A10)

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