error coefficients

  • 121Disattenuation — In measurement and statistics, disattenuation of a correlation between two sets of parameters or measures is the estimation of the correlation in a manner that accounts for measurement error contained within the estimates of those… …

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  • 122Volterra series — The Volterra series and Volterra theorem was developed in 1887 by Vito Volterra. It is a model for non linear behavior, similar to the Taylor series. It differs from the Taylor series in its ability to capture memory effects. The Taylor series… …

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  • 123Dormand–Prince method — In numerical analysis, the Dormand–Prince method, or DOPRI method, is a method for solving ordinary differential equations (Dormand Prince 1980). The method is a member of the Runge–Kutta family of ODE solvers. More specifically, it uses six… …

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  • 124Modèle de régression multiple postulés et non postulés — Modèles de régression multiple postulés et non postulés Sommaire 1 Modèle 2 Régression multiple 3 Modèle postulé 4 Le problème de la sélection des variables explicatives …

    Wikipédia en Français

  • 125Modèles de régression multiple postulés et non postulés — Sommaire 1 Modèle 2 Régression multiple 3 Modèle postulé 4 Le problème de la sélection des variables explicatives …

    Wikipédia en Français

  • 126numerical analysis — the branch of mathematics dealing with methods for obtaining approximate numerical solutions of mathematical problems. [1925 30] * * * Branch of applied mathematics that studies methods for solving complicated equations using arithmetic… …

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  • 127Difference engine — For the novel by William Gibson and Bruce Sterling, see The Difference Engine. The London Science Museum s difference engine, built from Babbage s design. The design has the same precision on all columns, but when calculating converging… …

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  • 128Linear predictive coding — (LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. It is one of the most… …

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