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1 linear smoothing
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2 линейное сглаживание
Русско-английский словарь по машиностроению > линейное сглаживание
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Russian-English dictionary of telecommunications > линейное сглаживание
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Русско-английский словарь по электронике > линейное сглаживание
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Русско-английский словарь по радиоэлектронике > линейное сглаживание
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7 линейное сглаживание
Русско-английский словарь по вычислительной технике и программированию > линейное сглаживание
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8 линейное сглаживание
Русско-английский словарь по экономии > линейное сглаживание
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9 линейное сглаживание
Русско-английский математический словарь > линейное сглаживание
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Русско-английский политехнический словарь > линейное сглаживание
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Русско-английский синонимический словарь > линейное сглаживание
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Русско-английский большой базовый словарь > линейное сглаживание
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13 линейное сглаживание
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Русско-английский новый политехнический словарь > линейное сглаживание
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Русско-английский словарь по информационным технологиям > линейное сглаживание
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16 линейное сглаживание
Бизнес, юриспруденция. Русско-английский словарь > линейное сглаживание
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17 линейное сглаживание
Русско-английский словарь нормативно-технической терминологии > линейное сглаживание
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18 линейное сглаживание
linear smoothing мат.Русско-английский научно-технический словарь Масловского > линейное сглаживание
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19 сглаживание
1. с. smoothing2. с. метал. burnishingСинонимический ряд:затушевывание (сущ.) затушевывание -
20 теория взвешенного сглаживания
Русско-английский научный словарь > теория взвешенного сглаживания
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См. также в других словарях:
smoothing — Also called yield curve smoothing. The name for a set of alternative techniques for creating continuous yield curves by connecting the dots between observed. If, for example, we have observed rates for 1, 2, 3, 5 and 10 year maturities, smoothing … Financial and business terms
Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… … Wikipedia
Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… … Wikipedia
Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… … Wikipedia
Smoothing spline — The smoothing spline is a method of smoothing, or fitting a smooth curve to a set of noisy observations.DefinitionLet (x i,Y i); i=1,dots,n be a sequence of observations, modeled by the relation E(Y i) = mu(x i). The smoothing spline estimate… … Wikipedia
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
linear yield curve smoothing — The simple process of drawing straight lines to connect the knot points. The simplest but least accurate technique for yield curve smoothing. See smoothing. American Banker Glossary … Financial and business terms
Exponential smoothing — is a technique that can be applied to time series data, either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random… … Wikipedia
Generalized linear array model — In statistics, the generalized linear array model(GLAM) is used for analyzing the data sets with array structure. It based on the generalized linear model with the regression matrix written as a Kronecker product. Overview In the article… … Wikipedia
Edge preserving smoothing — is an image processing technique where the edge information is preserved during the smoothing process. It uses non linear operator which is able to remove texture and noise, while keeping edges and corners. The technique is known also as edge and … Wikipedia