File:Bayesian prediction of mean square errors with covariates (IA bayesianpredicti00gave).pdf

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Original file ‎(1,227 × 1,608 pixels, file size: 1.47 MB, MIME type: application/pdf, 40 pages)

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Bayesian prediction of mean square errors with covariates   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Gaver, Donald Paul.;Jacobs, Patricia A.
image of artwork listed in title parameter on this page
Title
Bayesian prediction of mean square errors with covariates
Publisher
Monterey, California : Naval Postgraduate School
Description
Cover title
"NPS-OR-93-004."
"November 1992."
AD A259 585
Includes bibliographical references (p.16-17)
Estimation 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 parameters
aq/aq cc:9116 07/08/97

Subjects: MATHEMATICAL MODELS.; COVARIANCE.; MATHEMATICAL PREDICTION.; STATISTICAL ANALYSIS.
Language en_US
Publication date November 1992
publication_date QS:P577,+1992-11-00T00:00:00Z/10
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink; americana
Accession number
bayesianpredicti00gave
Authority file  OCLC: 1041054826
Source
Internet Archive identifier: bayesianpredicti00gave
https://archive.org/download/bayesianpredicti00gave/bayesianpredicti00gave.pdf

Licensing

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Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
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