linear extrapolation - traducción al ruso
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linear extrapolation - traducción al ruso

TYPE OF ESTIMATION WHERE A DATA POINT BEYOND THE ORIGINAL OBSERVATION RANGE IS GENERATED BASED ON ITS RELATIONSHIP WITH ANOTHER VARIABLE
Extrapolate; Extrapolation method; Extrapolation methods; Extrapolating; Linear extrapolation; Extrapolated; Extrapolations
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linear extrapolation         

математика

линейная экстраполяция

linear extrapolation         
линейная экстраполяция

Definición

extrapolate
v. (D; intr., tr.) to extrapolate from, on the basis of

Wikipedia

Extrapolation

In mathematics, extrapolation is a type of estimation, beyond the original observation range, of the value of a variable on the basis of its relationship with another variable. It is similar to interpolation, which produces estimates between known observations, but extrapolation is subject to greater uncertainty and a higher risk of producing meaningless results. Extrapolation may also mean extension of a method, assuming similar methods will be applicable. Extrapolation may also apply to human experience to project, extend, or expand known experience into an area not known or previously experienced so as to arrive at a (usually conjectural) knowledge of the unknown (e.g. a driver extrapolates road conditions beyond his sight while driving). The extrapolation method can be applied in the interior reconstruction problem.

Ejemplos de uso de linear extrapolation
1. When predicting the behavior of the pendulum in motion, the worst conceivable thing we could do is use linear extrapolation – which would predict that the trend will continue.
2. Yet for some reason, not only your layman, but seasoned economic experts and analysts try to predict pendulum–type scenarios using linear extrapolation.
3. If you see something moving fast in one direction, barreling past its usual dwelling range – whether it be a share price, a barrel of oil, a bushel of corn or a currency, the profit margins of a company or sector, the pricing ratio of a stock, or a mad fad like Crocs – do not indulge in linear extrapolation to peer into the future.
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