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AN EMPRICAL POINT ERROR MODEL FOR TLS DERIVED POINT CLOUDS
TLS reflectance incidence angle range error ellipsoid anisotropic error model
2016/11/11
The random error pattern of point clouds has significant effect on the quality of final 3D model. The magnitude and distribution of random errors should be modelled numerically. This work aims at deve...
Optimal Algebraic Manipulation Detection Codes in the Constant-Error Model
Optimal Algebraic Manipulation Detection Codes Constant-Error Model
2016/1/25
Algebraic manipulation detection (AMD) codes, introduced at EUROCRYPT 2008, may,
in some sense, be viewed as keyless combinatorial authentication codes that provide security
in the presence of an ob...
A Three-dimensional Error Model of DEM Based on the Reconstruct Contours
DEM contour line precision analysis three-dimensional model error mean square error
2015/12/3
In this paper, a three-dimensional error model of grid digital elevation model (DEM) is proposed based on the reconstructed contours. Though analyzing the construction of three-dimensional error model...
Estimation of Variance and Its Properties in Measurement Error Model
Measurement error model independence unbiased estimator non-negative estimator.
2011/11/11
This paper introduces variance estimators of Y in measurement error model X=Y+E with known Var(E). An unbiased estimator and an adjust non-negative estimator of Var(Y) are given. Meanwhile, some prope...
Combination of a Conceptual Model and an Autoregressive Error Model for Improving Short Time Forecasting
Combination Conceptual Model Autoregressive Error Model
2009/10/28
An autoregressive error model has been tested on the residuals of the conceptual
HBV-model for the EmAn catchment. The autoregresslve model gives
considerable improvements for real shorttime forecas...
Bayesian inference for an extended simple regression measurement error model using skewed priors
Berkson model non-informative prior non-random sample pseudo-Bayes factor regression calibration structural error model Winbugs
2009/9/22
In this paper, we introduce a Bayesian extended regression model
with two-stage priors when the covariate is positive and measured with error.
Connections are made with some results in Arellano-Vall...
A Bayesian Inference for the Extended Skew-Normal Measurement Error Model
Bayesian Inference Skew-Normal Measurement Error Model
2009/9/17
A Bayesian Inference for the Extended Skew-Normal Measurement Error Model。
Mining Tandem Mass Spectral Data to Develop a More Accurate Mass Error Model for Peptide Identification,
Spectral Data Mass Error Model Peptide Identification
2010/12/17
The assumption on the mass error distribution of fragment ions plays a crucial role in
peptide identification by tandem mass spectra. Previous mass error models are the
simplistic uniform or normal ...