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This paper presents an error estimation and grid adaptive strategy for estimating and reducing simulation errors in integral outputs (functionals) of partial differential equations.
In this report, we describe a reverse-engineering strategy for estimating these microscopic constants.
Next, a model-based sampling strategy for estimating an ordinary linear regression model in the spatial setting is described.
A new modified strategy for estimating the external forces acting on the master and slave robots is developed.
The aim of this paper is to provide an optimal experimental strategy for estimating volumetric errors and then compensating these machine tools in the best possible manner.
In this study, we have established a three-tier QSAR modeling strategy for estimating the EIP of chemicals for the use of pharmaceutical industry and regulatory agencies.
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We demonstrate the implications of different strategies for estimating the size of vulnerable segments of the Mexican-origin child population and their risks of living in poverty.
In this paper possible sampling strategies for estimating the prevalence of Echinococcus multilocularis infections in foxes are discussed.
The appropriateness of four strategies for estimating FDCs was compared: (a) parameterise then generalise; (b) parameterise then regionalise then generalise; (c) parameterise and generalise together; and (d) FDC substitution.
Vishal Misra, whose research emphasizes the use of mathematical modeling to examine complex network systems, received $75K to fund Bandwidth allocation strategies for multi data center networks, which investigates strategies for estimating the right amount of bandwidth for data centers.
We also cover appropriate data analytic strategies for estimating causal effects from natural and "quasi-experimental" designs including interrupted time series, differences-in-differences, the regression-discontinuity design, matching and instrumental variables.
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CEO of Professional Science Editing for Scientists @ prosciediting.com