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Quantile Regression for Large-scale Applications
Quantile Regression for Large-scale Applications

... variable and observed covariates, and it is more appropriate in certain non-Gaussian settings. For these reasons, quantile regression has found applications in many areas (Buchinsky, 1994; Koenker & Hallock, 2001; Buhai, 2005). As with `1 regression, the quantile regression problem can be formulated ...
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... (Production of the first sample on the first machine do not efficiently - c11 = 0, the second estimated efficiency c12 = 10, ..., manufacturing efficiency quadruple sample estimated in the fourth machine c44 = 20). Create the most efficient plan for product manufacturing. Task 16. According to the p ...
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Computational electromagnetics

Computational electromagnetics, computational electrodynamics or electromagnetic modeling is the process of modeling the interaction of electromagnetic fields with physical objects and the environment.It typically involves using computationally efficient approximations to Maxwell's equations and is used to calculate antenna performance, electromagnetic compatibility, radar cross section and electromagnetic wave propagation when not in free space.A specific part of computational electromagnetics deals with electromagnetic radiation scattered and absorbed by small particles.
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