SPATIO-TEMPORAL HYPOTHESIS TESTING IN MODEL RESIDUALS

dc.contributor.authorDietz, Lindsey R.
dc.contributor.authorChatterjee, Snigdhansu
dc.date.accessioned2026-03-05T19:35:54Z
dc.date.issued2025-09
dc.description5th International Workshop on Climate informatics, Boulder CO, September 24-25, 2015
dc.description.abstractSpatio-temporal models add complexity, but not necessarily value, to some climate analyses. To con?rm the presence of spatio-temporal dependence, a hypothesis test should be conducted. The Space-Time Index is one statistic to detect such dependence; this statistic is simple, easily interpretable, and used in several disciplines. In an application to Indian monsoon precipitation thresholds, residuals from logit-normal mixed models were tested for spatio-temporal dependence. No evidence of dependence was detected in high thresholds.
dc.description.urihttp://users.stat.umn.edu/~chatt019/Research/Papers/ClimateInformatics15_DietzC.pdf
dc.format.extent2 pages
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifier.urihttp://hdl.handle.net/11603/42042
dc.language.isoen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleSPATIO-TEMPORAL HYPOTHESIS TESTING IN MODEL RESIDUALS
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-7986-0470

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