This paper considers the nonparametric estimation of the densities of the latent variable and the error term in the standard measurement error model when two or more measurements are available. Using an identification result due to Kotlarski we propose a two-step nonparametric procedure for estimati
An estimation of the sensitivity of numerical error norm using adjoint model
β Scribed by A. K. Alekseev; I. M. Navon
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 428 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0271-2091
- DOI
- 10.1002/fld.2137
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β¦ Synopsis
Abstract
A posteriori estimation of the numerical error sensitivity to the local truncation error is addressed using adjoint model endowed with the information on the error field. The numerical error is estimated from the solution of the linear tangent model (LTM) or from a Richardson extrapolation. The local truncation error used in the LTM is obtained by the action of a highβorder finiteβdifference stencil on the field computed by the main (lowβorder accuracy) algorithm. Copyright Β© 2009 John Wiley & Sons, Ltd.
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## Abstract Assimilation of temperature observations into an ocean model near the equator often results in a dynamically unbalanced state with unrealistic overturning circulations. The way in which these circulations arise from systematic errors in the model or its forcing is discussed. A scheme is
## REFERENCE Kinal, T. and K. Lahiri (1993) , `On the estimation of simultaneous-equations error-components models with an application to a model of developing country foreign trade', Journal of Applied Econometrics, 8, 81Β±92.