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...us]] inputs. This means that the model relates the current value of a time series to both: * past values of the same series; and ...

...inear regression]] model. However, the term is also used in [[time series analysis]] with a different meaning. In each case, the designation "linear" is used where <math> \phi_1, \ldots, \phi_p </math> may be [[Nonlinear system|nonlinear]] functions. In the above, the quantities <math>\varepsilon_i</math> are [[ ...

...the solution of numerical problems in statistics, [[econometrics]], [[time-series]], optimization and 2D- and 3D-[[Visualization (computer graphics)|visualiz ...eral Application Modules as well as functions in its [[Runtime library|Run-Time Library]] (i.e., functions that come with GAUSS without extra cost) ...

*DDA (delay differential analysis), a nonlinear time series analysis tool *[[Discontinuous Deformation Analysis]], an analysis procedure used in physics and engineering ...

...1621459.1970.10481180 }}</ref> having been devised at essentially the same time; a seemingly trivial simplification (omitted in the improved test) was foun ...=Enders |first=W. |authorlink=Walter Enders|title=Applied Econometric Time Series |url=https://archive.org/details/appliedeconometr00ende_724 |url-access=lim ...

{{short description|Control theory for nonlinear or time-variant systems}} ...ntrol system at least one of the blocks, system, sensor, or controller, is nonlinear.]] ...

In theory, an arbitrary nonlinear parametric deformation could be used. The optimal parameters could be foun ...ar mapping is to use a [[radial basis function network]] (RBF) to create a nonlinear mapping between the latent space and the data space. The nodes of the ...

...tle = Improved false nearest neighbor method to detect determinism in time series data | journal = Physical Review E | volume = 60 | issue = 4 | pages = 4970 * [[Time series]] ...

{{Otheruses4|the theorem as used in time series analysis|an abstract mathematical statement|Wold decomposition}} ...] [[time series]] <math>Y_{t}</math> can be written as the sum of two time series, one ''deterministic'' and one ''stochastic''. ...

...elf is decomposed into its component sources using [[independent component analysis]]. The separation of the combined effects of unidentified sources ([[blind ...functions of time, so that the result is an [[energy]] distribution over [[time]] and [[frequency]]. ...

...ast6=Delignette-Muller |first6=Marie-Laure |date=2015 |title=A toolbox for nonlinear regression in R: the package nlstools |url=https://scholar.googleuserconten ...ous equations]], reducing [[dimensions]], treating the problem as a [[time series]], converting the problem to a (hopefully) [[linear]] [[differential equati ...

{{Short description|Electronic circuit analysis method}} ...ltages. A small-signal model is an AC [[equivalent circuit]] in which the nonlinear circuit elements are replaced by linear elements whose values are given by ...

{{Short description|Statistical model for time series data}} ...toRegressive''' ('''SETAR''') '''models''' are typically applied to [[time series]] data as an extension of [[Autoregressive|autoregressive models]], in orde ...

...ers in [[nonlinear]] [[time series]] analysis, nonlinear [[econometrics]], nonlinear [[dynamic systems]], and in [[econometrics]] theory. ...

'''Seismic analysis''' is a subset of [[structural analysis]] and is the calculation of the response of a building (or [[Nonbuilding st ...ogram [[Computers and Structures|SAP]] in 1970, an early "[[finite element analysis]]" program.<ref name=Curee>[http://www.curee.org/image_gallery/calendar/ess ...

** [[Circuit analysis]], the process of finding the voltages across, and the currents through, ev ** [[Electronic circuit]], contains "active" (nonlinear) electronic components capable of performing amplification, computation, an ...

...istical analysis]], the '''bispectrum''' is a statistic used to search for nonlinear interactions. {{redirect|Bispectral analysis|the speckle imaging method|Speckle masking}} ...

...of a neuron's linear [[receptive field]]. It is a useful technique for the analysis of [[electrophysiology|electrophysiological]] data. ...The stimuli in some time window preceding each spike (here consisting of 3 time bins) are selected (color boxes) and then averaged (here just summed for cl ...

...nonlinear and non-stationary time series as a form of [[singular spectrum analysis]] ...

...ttps://www.nber.org/chapters/c10206.pdf |title=Estimation and Inference in Nonlinear Structural Models |journal=Annals of Economic and Social Measurement |volum If a [[nonlinear]] model is fitted to the [[data]] one often needs to estimate [[coefficient ...