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European test laboratories [48] checked both test methods for robustness to certain test parameters in a comprehensive study of numerous representative construction products.
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In this paper, a method for robustness of mean-shift algorithm under dynamically complex condition is proposed.
A simple but powerful method for robustness is a redundancy approach to use multiple circuits instead of single one.
A Lyapunov equation method for robustness analysis is proposed, by which the robustness of the local and fused Kalman filters is proved.
In Section 3, we present the proposed method for robustness estimation and its implementation in BIOCHAM 2.8.
To analyze the changes of the objective function in response to variations of a specific flux, a method for robustness analysis is also available.
Since we do not know the true sub-densities we model each of the marginal densities by nonparametric method for robustness.
a method for robustness analysis of a configured objective function; methods to calculate fluxes when the non-measured fluxes can be calculated from the input constraints, and exploiting redundancies when additional data are available; a suitable model visualization tool to facilitate the interpretation of results.
Most of the popular methods strive for robustness against outlier probes (e.g. cross hybridizing, saturated, or non-responsive probes).
This paper estimates the Japanese place-based program using alternative methods for double robustness.
Methods are tested for robustness, and are experimentally validated.
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