Process representation, measurements, data quality, and criteria for parameter estimation of watershed models

2003 ◽  
pp. 283-299 ◽  
Author(s):  
Stephen J. Burges
Keyword(s):  
Parameter Estimation ◽  
Data Quality ◽  
Watershed Models ◽  
Process Representation

scholarly journals Quantifying systematics from the shear inversion on weak-lensing peak counts

2018 ◽  
Vol 614 ◽  
pp. A36 ◽  
Author(s):  
Chieh-An Lin ◽  
Martin Kilbinger
Keyword(s):  
Parameter Estimation ◽  
Dark Energy ◽  
Equation Of State ◽  
Data Quality ◽  
High Precision ◽  
Energy Equation ◽  
Mass Function ◽  
Weak Lensing ◽  
Local Maxima

Weak-lensing peak counts provide a straightforward way to constrain cosmology by linking local maxima of the lensing signal to the mass function. Recent applications to data have already been numerous and fruitful. However, the importance of understanding and dealing with systematics increases as data quality reaches an unprecedented level. One of the sources of systematics is the convergence-shear inversion. This effect, inevitable when carrying out a convergence field from observations, is usually neglected by theoretical peak models. Thus, it could have an impact on cosmological results. In this paper, we study the bias from neglecting (mis-modeling) the inversion. Our tests show a small but non-negligible bias. The cosmological dependence of this bias seems to be related to the parameter Σ8 ≡ (Ωm∕(1 − α))1 − α(σ8∕α)α, where α = 2∕3. When this bias propagates to the parameter estimation, we discovered that constraint contours involving the dark energy equation of state can differ by 2σ. Such an effect can be even larger for future high-precision surveys and we argue that the inversion should be properly modeled for theoretical peak models.

The Role of Interior Watershed Processes in Improving Parameter Estimation and Performance of Watershed Models

2014 ◽  
Vol 43 (5) ◽  
pp. 1601-1613 ◽  
Author(s):  
Haw Yen ◽  
Ryan T. Bailey ◽  
Mazdak Arabi ◽  
Mehdi Ahmadi ◽  
Michael J. White ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Watershed Models ◽  
And Performance ◽  
Watershed Processes

The Influence of Experimental Data Quality and Quantity on Parameter Estimation Accuracy

2006 ◽  
Vol 1 (1) ◽  
pp. 139-145 ◽  
Author(s):  
A. Guisasola ◽  
J.A. Baeza ◽  
J. Carrera ◽  
G. Sin ◽  
P.A. Vanrolleghem ◽  
...  
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Data Quality ◽  
Estimation Accuracy

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination

A Review of Failure Handling Mechanisms for Data Quality Measures

2012 ◽  
Author(s):  
Nurul A. Emran ◽  
Noraswaliza Abdullah ◽  
Nuzaimah Mustafa
Keyword(s):  
Data Quality ◽  
Quality Measures ◽  
Failure Handling

Sequential accuracy in parameter estimation for population correlation coefficients.

2019 ◽  
Vol 24 (4) ◽  
pp. 492-515 ◽  
Author(s):  
Ken Kelley ◽  
Francis Bilson Darku ◽  
Bhargab Chattopadhyay
Keyword(s):  
Parameter Estimation ◽  
Correlation Coefficients ◽  
Population Correlation
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