{"paper":{"title":"Nearly Gaussian random variables and application to meteorology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"math.PR","authors_text":"Rui Gon\\c{c}alves","submitted_at":"2013-08-01T15:45:18Z","abstract_excerpt":"We consider a nearly Gaussian random variable $X$ (see \\cite{Lefebvre}) that, after a power transformation, the variable $X^c$ where $c=\\{(2k+1)/(2j+1)\\}$, $k,j=\\{0,1,\\dots\\}$, is approximately Gaussian. This transformation is useful to model errors in temperature forecasts."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.0248","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}