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Calibration, modelling and cross-section estimation

Developments in Informal Multi-Criteria Calibration and Uncertainty Estimation in Hydrological Modelling

Developments in Informal Multi-Criteria Calibration and Uncertainty Estimation in Hydrological Modelling

... uncertainty estimation methodologies are among the simple and practical approaches to address uncertainties in hydrological ...multi-criteria calibration and uncertainty estimation of three ...

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Modelling discrepancy in Bayesian calibration of reservoir models

Modelling discrepancy in Bayesian calibration of reservoir models

... Eq. (3-15) is a general formula for correlated/uncorrelated uncertainty while information about measurements and Gaussian modelling error are available. This can also be developed when initially a naive ...

195

Camera Modelling and Calibration with Machine Vision Applications

Camera Modelling and Calibration with Machine Vision Applications

... Acknowledgments First I want to thank the Knowledge Foundation, the EU research project Affix and University West for financing this work, which has been very interesting to me. A number of people have been helpful, whom I ...

72

Keywords Stormwater, modelling, calibration, validation, uncertainty.

Keywords Stormwater, modelling, calibration, validation, uncertainty.

... the estimation of discharged pollutant loads at different scales of time in some specific locations of the sewer ...for calibration to cover all possible conditions of ...

8

River Modelling Assignment1: Calibration / Validation Unsteady Model

River Modelling Assignment1: Calibration / Validation Unsteady Model

... • calibration: model optimization by changing parameters for a specific simulation scenario1. • specification of calibration parameters and their ranges • specification of the target fun[r] ...

19

Characterization of the Layered Pavement by Modelling and Calibration of Resilient Modulus

Characterization of the Layered Pavement by Modelling and Calibration of Resilient Modulus

... The question now arises; which model(s) satisfies validation criteria. Validation refers to the process to confirm that the proposed model can produce robust and accurate predictions for cases other than those used in ...

13

Nonparametric model calibration estimation in survey sampling

Nonparametric model calibration estimation in survey sampling

... concern is mainly with an efficient prediction of the values taken by the survey variable in non sampled units, rather than with interpretation of the relation between the variable of interest and the auxiliary ones. As ...

40

Towards Convenient Calibration for Cross-Ratio based Gaze Estimation

Towards Convenient Calibration for Cross-Ratio based Gaze Estimation

... The main contribution of this paper is the introduc- tion of a regularized least-squares regression (LSR) based subject-specific calibration in order to achieve decent accu- racy given few number of ...

7

Detector response calibration for the NOvA quasi-elastic cross-section measurement

Detector response calibration for the NOvA quasi-elastic cross-section measurement

... this calibration is using only cosmic ray muons that traverse the entire volume of the ...the calibration is selecting only muons that have a calculated path length of less than 10 ...

86

Estimation of Radar Cross Section of a Target under Track

Estimation of Radar Cross Section of a Target under Track

... the estimation error at an earlier scan for SNR = 32 since the window can retain 5 detections faster when the probability of detection is ...MED estimation of the following scan and causes the ...

6

Kriging approach for the experimental cross-section covariances estimation

Kriging approach for the experimental cross-section covariances estimation

... 2 ENS Cachan 3 ENSIIE Abstract. In the classical use of a generalized χ 2 to determine the evaluated cross section uncertainty, we need the covariance matrix of the experimental cross sections. The ...

5

Robust estimation under error cross section dependence

Robust estimation under error cross section dependence

... weakly cross section- ally dependent and serially ...of cross products of regression errors, computed over a subset of n cross sectional units, where n → ∞ as N rises, and n / N → ...weak ...

5

Robust estimation under error cross section dependence

Robust estimation under error cross section dependence

... weakly cross section- ally dependent and serially ...of cross products of regression errors, computed over a subset of n cross sectional units, where n → ∞ as N rises, and n / N → ...weak ...

5

Weak and strong cross section dependence and estimation of large panels

Weak and strong cross section dependence and estimation of large panels

... of cross section dependence into weak and strong, which are more widely applicable than the de…nitions introduced by Anderson et ...be cross sectionally weakly dependent at a given point in time if ...

58

Weak and Strong Cross Section Dependence and Estimation of Large Panels

Weak and Strong Cross Section Dependence and Estimation of Large Panels

... of cross section dependence into weak and strong, which are more widely applicable than the de…nitions introduced by Anderson et ...be cross sectionally weakly dependent at a given point in time if ...

55

Dynamic Panel Estimation and Homogeneity Testing Under Cross Section Dependence

Dynamic Panel Estimation and Homogeneity Testing Under Cross Section Dependence

... is cross section ...next section shows how even a small time series SB can make a large difference in estimation and testing in the context of panel ...pooling. Section 3 studies the ...

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Bias calibration in finite population estimation

Bias calibration in finite population estimation

... guarantee a good estimate. More research is needed to tell us when a model based estimator of the population total is better than the number raised estimator for this situation. It is also clear from the results of ...

77

Interpretative modelling of a geological cross section from boreholes: sources of uncertainty and their quantification

Interpretative modelling of a geological cross section from boreholes: sources of uncertainty and their quantification

... of cross-section error were simulated this ...lated cross-section errors at any location, we approximate the 95 % confidence interval for model ...

15

Estimation of the finite population covariance using calibration

Estimation of the finite population covariance using calibration

... A short simulation study is performed to compare these estimators of total. We employ the same data of Section 4 from the Lithuanian Enterprise Survey. The variable z is used to define the initial regression ...

16

Pseudo-measurement simulations and bootstrap for the experimental cross-section covariances estimation with quality quantification

Pseudo-measurement simulations and bootstrap for the experimental cross-section covariances estimation with quality quantification

... uated cross section uncertainty requires the values of the experimental cross sections covariance ...experimental cross section to generate pseudo-measurements and thereby allows an ...

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