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.
%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
}