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The applicability of the methodology serves as an example in the estimation of the complexation constants of lanthanide cations (M) by Arsenazo III (L).
The attributable fraction (AF) is widely used, for example, in the estimation of global burden of disease (Driscoll et al, 2005); quantification and ranking of the burden by diseases and causes of disease facilitate decision making for risk reduction measures.
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The reduced basis methodology we recall in this paper is motivated by, and applied within two particular contexts: the real-time context (for example, in-the-field robust parameter-estimation, or nondestructive evaluation); and the many-query context (for example, design or shape optimization, optimal control or multi-model/scale simulation).
A simulated example of the estimation of R D t) in presence of confounding is exemplified in Figure 1.
The performance of the proposed results is illustrated in a numerical example in the areas of estimation and simulation.
As an example, in the context of estimation of product coherent states, the optimal measure-and-prepare strategy on identical copies of (vert alpha rangle) can be achieved by local operations and classical communication (according to the fidelity criterion), but bipartite product states (vert alpha rangle vert alpha ^ rangle) require entangled measurements [52].
In this Example, the estimation of a real signal on the basis of a set of complex-valued observations is considered.
In this example, the estimation process distributes the number of fatalities assuming equal distribution among the NAICS.
For example, in the Peruvian case the estimations of Rodríguez (2010a) based on the Hamilton (1989) model and the "plucking" model of Kim and Nelson (1999a) do not identify recessionary periods after 1990.
One example is in the direct estimation of genetic principle components model of Kirkpatrick and Meyer (2004).
Survey statisticians make use of auxiliary information to improve estimates, for example in calibration estimation, introduced in Deville and Särndal (1992), which is used to obtain new weights that are close to the basic design weights and that, at the same time, comply with benchmark constraints on the auxiliary information available.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com