partial autocorrelation function

partial autocorrelation function

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  • 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

  • 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

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  • Moving-average model — In time series analysis, the moving average (MA) model is a common approach for modeling univariate time series models. The notation MA(q) refers to the moving average model of order q: where μ is the mean of the series, the θ1, ..., θq are the… …   Wikipedia

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

  • Wiener filter — In signal processing, the Wiener filter is a filter proposed by Norbert Wiener during the 1940s and published in 1949.ref|Wiener1949 Its purpose is to reduce the amount of noise present in a signal by comparison with an estimation of the desired… …   Wikipedia

  • Green–Kubo relations — give exact mathematical expression for transport coefficients in terms of integrals of time correlation functions.Thermal and mechanical transport processesThermodynamic systems may be prevented from relaxing to equilibrium because of the… …   Wikipedia

  • Relaxation (NMR) — In nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI) the term relaxation describes several processes by which nuclear magnetization prepared in a non equilibrium state return to the equilibrium distribution. In… …   Wikipedia

  • Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …   Wikipedia

  • Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at …   Wikipedia


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