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lag correlation

См. также в других словарях:

  • Cross-correlation — In signal processing, cross correlation is a measure of similarity of two waveforms as a function of a time lag applied to one of them. This is also known as a sliding dot product or sliding inner product. It is commonly used for searching a long …   Wikipedia

  • Partial correlation — In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of controlling random variables removed. Contents 1 Formal definition 2 Computation 2.1 Using… …   Wikipedia

  • Correlogram — A plot showing 100 random numbers with a hidden sine function, and an autocorrelation (correlogram) of the series on the bottom …   Wikipedia

  • Autocorrelation — is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal which has been buried under noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. It is used… …   Wikipedia

  • Kreuzbandriss — Klassifikation nach ICD 10 S83.50 Nicht näher bezeichnetes Kreuzband Inkl.: Kreuzbandriss o.n.A. S83.53 Riss des vorderen Kreuzbandes Inkl.: Partieller oder kompletter R …   Deutsch Wikipedia

  • List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia

  • Variogram — In spatial statistics the theoretical variogram 2γ(x,y) is a function describing the degree of spatial dependence of a spatial random field or stochastic process Z(x). It is defined as the variance of the difference between field values at two… …   Wikipedia

  • Economic Affairs — ▪ 2006 Introduction In 2005 rising U.S. deficits, tight monetary policies, and higher oil prices triggered by hurricane damage in the Gulf of Mexico were moderating influences on the world economy and on U.S. stock markets, but some other… …   Universalium

  • Partial autocorrelation function — In time series analysis, the partial autocorrelation function (PACF) or PARtial autoCORrelation (PARCOR) plays an important role in data analyses aimed at identifying the extent of the lag in an autoregressive model. The use of this function was… …   Wikipedia

  • Climate change — For current and future climatological effects of human influences, see global warming. For the study of past climate change, see paleoclimatology. For temperatures on the longest time scales, see geologic temperature record …   Wikipedia

  • Vector autoregression — (VAR) is an econometric model used to capture the evolution and the interdependencies between multiple time series, generalizing the univariate AR models. All the variables in a VAR are treated symmetrically by including for each variable an… …   Wikipedia

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