Results 91 to 100 of about 617,695 (198)
Quantum Error-Correcting Codes with a Covariant Encoding
Physical Review LettersGiven some group $G$ of logical gates, for instance the Clifford group, what are the quantum encodings for which these logical gates can be implemented by simple physical operations, described by some physical representation of $G$? We study this question by constructing a general form of such encoding maps. For instance, we recover that the $[[5,1,3]]$
Denys, Aurélie, Leverrier, Anthony
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Remote Sensing, 2014 This study assesses the analysis performance of a hybrid DEnKF-variational data assimilation (DA) method (DEnVar) for assimilating the MODIS snow cover fraction (SCF) into the Common Land Model (CoLM).
Jianhui Xu, Hong Shu, Lin Dong
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Long and short arc altitude determination for GEOS-C [PDF]
The accuracy with which the GEOS-C altitude may be estimated over long (7 day) and short (40 minute) orbital arcs is investigated. Over the long are excellent agreement was attained between a simulation of the orbit determination process and a covariance
Argentiero, P., Kahn, W. D., Koch, D.
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2018 In this study, the forecast sensitivity to error covariance parameters was calculated using the forecast sensitivity to observations (FSO) and was employed to adjust the observation error variance in the Korea Meteorological Administration (KMA) Unified ...
Sung-Min Kim, Hyun Mee Kim
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True covariance simulation of the EUVE update filter [PDF]
A covariance analysis of the performance and sensitivity of the attitude determination Extended Kalman Filter (EKF) used by the On Board Computer (OBC) of the Extreme Ultra Violet Explorer (EUVE) spacecraft is presented.
Bar-Itzhack, Itzhack Y., Harman, R. R.
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Expected Estimating Equations to Accommodate Covariate Measurement Error
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary Estimating equations which are not necessarily likelihood-based score equations are becoming increasingly popular for estimating regression model parameters. This paper is concerned with estimation based on general estimating equations when true covariate data are missing for all the study subjects, but surrogate or mismeasured ...
Wang, C.-Y., Pepe, Margaret Sullivan
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A comparison of predictors of the error of weather forecasts [PDF]
Nonlinear Processes in Geophysics, 2005 Three different potential predictors of forecast error - ensemble spread, mean errors of recent forecasts and the local gradient of the predicted field - were compared.
M. S. Roulston
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
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A Hybrid Approach to Estimating Error Covariances in Variational Data Assimilation [PDF]
, 2009 Data Assimilation (DA) involves the combination of observational data with the underlying dynamical principles governing the system under observation. In this work we combine the advantages of the two prominent advanced data assimilation systems, the 4D ...
Alexe, Mihai +3 more
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Model Error in Covariance Structure Models [PDF]
Methodology, 2008 This study investigated the degree to which violation of the parameter drift assumption affects the Type I error rate for the test of close fit and the power analysis procedures proposed by MacCallum et al. (1996) for both the test of close fit and the test of exact fit. The parameter drift assumption states that as sample size increases both sampling
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