# data smoothing

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**Data Smoothing**— The use of an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be done in a variety of different ways, including random, random walk, moving average, simple exponential, linear exponential… … Investment dictionary**data smoothing algorithm**— Stats a procedure for removing meaningless data from a sequence of observations so that a pattern can be detected … The ultimate business dictionary**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**Data reduction**— is the transformation of numerical or alphabetical digital information derived empirical or experimentally into a corrected, ordered, and simplified form. Columns and rows are moved around until a diagonal pattern appears, thereby making it easy… … 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**data compression**— Process of reducing the amount of data needed for storage or transmission of a given piece of information (text, graphics, video, sound, etc.), typically by use of encoding techniques. Data compression is characterized as either lossy or lossless … Universalium**smoothing methods**— Stats procedures used in fitting a model to a set of statistical observations in a study, often by graphing the data to highlight its characteristics … The ultimate business dictionary**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**Numerical smoothing and differentiation**— An experimental datum value can be conceptually described as the sum of a signal and some noise, but in practice the two contributions cannot be separated. The purpose of smoothing is to increase the Signal to noise ratio without greatly… … Wikipedia**Consumption smoothing**— is the economic concept used to express the desire of people for having a stable path of consumption. Since Milton Friedman s permanent income theory (1956) and Modigliani and Brumberg (1954) life cycle model, the idea that agents prefer a stable … Wikipedia