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Error Criterion (error + criterion)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting33%

Selected Abstracts

A new progressive coding scheme for halftone dithered images using bit-interleaving

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Issue 4 2006
Jing-Ming Guo
Abstract A novel progressive coding scheme is presented for the efficient display of dithered images. Dithered images are the results of thresholding original gray-level images with dithering screens. After the preprocessing of bit-interleaving, this algorithm utilizes the characteristic of reordered image to determine the transmitting order and then progressively reconstructs the dithered image. In addition, the dithered images are further compressed by lossy and lossless procedures. The experimental results demonstrate high-quality reconstructions while maintaining low transmitted bit rates. Moreover, an objective error criterion obtained by LMS optimization is also presented in this study. As documented in the experiments, the error criterion is quite consistent to the basic characteristic of human visual system. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 16, 121,127, 2006. [source]

An Empirical Comparison of Price-Limit Models,

INTERNATIONAL REVIEW OF FINANCE, Issue 3-4 2006
TAMIR LEVY
ABSTRACT Using futures traded on the Chicago Board of Trade, Chicago Mercantile Exchange and New York Board of Trade, we test six alternative models of the return-generating process (RGP) in futures exchanges that adopt a price-limit regime. We rank the six models according to their return-prediction ability, based on the mean square error criterion, and we find that the near-limit model performed best for both the estimation period and the prediction period. A reliable prediction of the expected return can have important implications for both traders and policy makers, concerning related issues such as the employment of long or short strategy, margin requirements and the effectiveness of the price limit mechanism. [source]

A markup model for forecasting inflation for the euro area

JOURNAL OF FORECASTING, Issue 7 2006
Bill Russell
Abstract We develop a small model for forecasting inflation for the euro area using quarterly data over the period June 1973 to March 1999. The model is used to provide inflation forecasts from June 1999 to March 2002. We compare the forecasts from our model with those derived from six competing forecasting models, including autoregressions, vector autoregressions and Phillips-curve based models. A considerable gain in forecasting performance is demonstrated using a relative root mean squared error criterion and the Diebold,Mariano test to make forecast comparisons.,,Copyright © 2006 John Wiley & Sons, Ltd. [source]

An adaptive wavelet viscosity method for hyperbolic conservation laws

NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, Issue 6 2008
Daniel Castaño Díez
Abstract We extend the multiscale finite element viscosity method for hyperbolic conservation laws developed in terms of hierarchical finite element bases to a (pre-orthogonal spline-)wavelet basis. Depending on an appropriate error criterion, the multiscale framework allows for a controlled adaptive resolution of discontinuities of the solution. The nonlinearity in the weak form is treated by solving a least-squares data fitting problem. © 2008 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 2008 [source]

A remark on ,Model reduction for singular systems via covariance approximation'

OPTIMAL CONTROL APPLICATIONS AND METHODS, Issue 5 2006
Dabo Xu
Abstract This note comments on the results of the paper, ,Model reduction for singular systems via covariance approximation', (Optim. Contr. Appl. Meth. 2004; 25:263,278), which studied model reduction for singular system via covariance approximation. Although the proposed new error criterion reflects the capacity of the impulsive behaviour for singular systems, there exists shortcomings due to the fixed matrix Br in the process of optimization, which remarkably matters. In order to avoid this drawback, the model reduction problem is reformulated and a genetic algorithm is used to deal with the optimization problem. A numerical example is provided to show the effectiveness and improvement of the proposed algorithm. Copyright © 2006 John Wiley & Sons, Ltd. [source]