Show simple item record

dc.contributor.authorGaver, Donald Paul
dc.contributor.authorJacobs, Patricia A.
dc.date1992-11
dc.date.accessioned2013-03-07T21:51:55Z
dc.date.available2013-03-07T21:51:55Z
dc.date.issued1992-11
dc.identifier.urihttps://hdl.handle.net/10945/29738
dc.description.abstractEstimation of mean square prediction error of wind components is required in the optimal interpolation (OI) process in numerical prediction of atmospheric variables. Previous work has suggested that statistical models with log-linear scale parameters which include covariates can be used to predict mean square prediction errors. However, the parameters of the statistical relationships appear to change over time. A procedure is described to recursively update the estimated parameters. Data from July of 1991 are used to fit the model parameters and to study the predictive ability of the recursive procedure. This preliminary investigation indicates that observational and first guess wind components can be helpful in predicting mean square prediction error for wind components.... Hierarchical model, Gaussian model with log-linear scale parametersen_US
dc.description.sponsorshipNaval Research Laboratory-Westen_US
dc.description.urihttp://archive.org/details/bayesianpredicti00gave
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshMATHEMATICAL MODELS.en_US
dc.titleBayesian prediction of mean square errors with covariatesen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research
dc.subject.authorHierarchical Model, Gaussian model with log-linear scale parametersen_US
dc.description.funderNaval Research Laboratory-Westen_US
dc.description.recognitionNAen_US
dc.identifier.oclcNA
dc.identifier.npsreportNPS-OR-93-004


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record