%0 Book Section %1 Wilks2011Statistical %A Wilks, D. S. %D 2011 %I Elsevier %K forecasting statistics textbook %P 215--300 %R 10.1016/b978-0-12-385022-5.00007-5 %T Statistical Forecasting %V 100 %X Statistical forecasts of atmospheric behavior are often made using both linear and nonlinear regression methods. Regression methods are also used to post-process dynamical forecasts, in order to correct systematic biases. Ensemble forecasting is a Monte-Carlo approach to use of deterministic dynamical models, in which effects of chaos may be accounted for. %@ 9780123850225

@inbook{Wilks2011Statistical, abstract = {Statistical forecasts of atmospheric behavior are often made using both linear and nonlinear regression methods. Regression methods are also used to post-process dynamical forecasts, in order to correct systematic biases. Ensemble forecasting is a Monte-Carlo approach to use of deterministic dynamical models, in which effects of chaos may be accounted for.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Wilks, D. S.}, biburl = {https://www.bibsonomy.org/bibtex/235d843dc93e09cd1f401b87cfdcb1f3d/pbett}, citeulike-article-id = {14367217}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/b978-0-12-385022-5.00007-5}, doi = {10.1016/b978-0-12-385022-5.00007-5}, interhash = {2478253b01f4cedd732a2a2b37135908}, intrahash = {35d843dc93e09cd1f401b87cfdcb1f3d}, isbn = {9780123850225}, keywords = {forecasting statistics textbook}, pages = {215--300}, posted-at = {2017-06-02 15:56:45}, priority = {2}, publisher = {Elsevier}, timestamp = {2018-06-22T18:37:28.000+0200}, title = {Statistical Forecasting}, volume = 100, year = 2011 }