Bayesian prediction of mean square errors with covariates - Info and Reading Options
By Donald Paul Gaver
"Bayesian prediction of mean square errors with covariates" was published by Naval Postgraduate School in 1992 - Monterey, Calif, it has 34 pages and the language of the book is English.
“Bayesian prediction of mean square errors with covariates” Metadata:
- Title: ➤ Bayesian prediction of mean square errors with covariates
- Author: Donald Paul Gaver
- Language: English
- Number of Pages: 34
- Publisher: Naval Postgraduate School
- Publish Date: 1992
- Publish Location: Monterey, Calif
“Bayesian prediction of mean square errors with covariates” Subjects and Themes:
- Subjects: MATHEMATICAL MODELS - MATHEMATICAL PREDICTION - COVARIANCE - STATISTICAL ANALYSIS
Edition Specifications:
- Pagination: i, 34 p. :
Edition Identifiers:
- The Open Library ID: OL25509186M - OL16887751W
AI-generated Review of “Bayesian prediction of mean square errors with covariates”:
"Bayesian prediction of mean square errors with covariates" Description:
The Open Library:
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.
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