
PROC NLMIXED
 Referenced in 65 articles
[sw11039]
 problem results in parameter estimates along with their approximate standard errors based on the second ... PROC NLMIXED enables you to use the estimated model to construct predictions of arbitrary functions ... estimate arbitrary functions of the nonrandom parameters, and PROC NLMIXED computes their approximate standard errors...

bvpsuite
 Referenced in 25 articles
[sw08540]
 also discuss the a posteriori error estimate and the grid adaptation strategy implemented...

decon
 Referenced in 19 articles
[sw11088]
 decon: Deconvolution Estimation in Measurement Error Models. This package contains a collection of functions ... additive measurement error model, where the goal is to estimate the density or distribution function ... Fourier Transform” (FFT) algorithm for density estimation with errorfree data to the deconvolution kernel ... Wang, B. (2011). Deconvolution estimation in measurement error models: The R package decon. Journal...

System Identification Toolbox
 Referenced in 169 articles
[sw05686]
 dynamic systems. A wide range of standard estimation approaches are supported. These include ... parametric, subspacebased, and predictionerror algorithms coupled (in the latter case) with either MIMO ... investigated by the authors. These include the estimation of nonlinear models...

MA48
 Referenced in 22 articles
[sw00535]
 integrated facilities for iterative refinement and error estimation...

saery
 Referenced in 26 articles
[sw11943]
 Predictor) estimators and their mean squared errors. All estimators are based on an arealevel...

PADRE2
 Referenced in 14 articles
[sw00667]
 PADRE2, a Fortran precompiler yielding error estimates and second derivatives. PADRE2 is a precomplier that ... vector as well as the estimates of the rounding errors. The computation involves algorithms based ... Differentiation (and automatic differentiation). Since the error estimates are indispensable to determine whether the computed...

RKF45
 Referenced in 18 articles
[sw22487]
 ordinary differential equation, with automatic error estimation using rules of order...

DCUTRI
 Referenced in 12 articles
[sw00191]
 null rule evaluations. A sophisticated errorestimation procedure tries, in a cautious manner, to decide ... polynomial degree when computing the error estimate in the asymptotic case...

PMTBR
 Referenced in 17 articles
[sw02086]
 good error properties, and possess simple error estimation and order control procedures. By tailoring...

adsimp
 Referenced in 12 articles
[sw14015]
 errors over the subregions with greatest estimated errors until the error request...

AdaBoost.RT
 Referenced in 14 articles
[sw08520]
 examples with the relative estimation error that is higher than the preset threshold value...

ipred
 Referenced in 29 articles
[sw08001]
 well as resampling based estimators of prediction error...

maiprogs
 Referenced in 13 articles
[sw07912]
 Element Methods; Fast Solvers and Preconditioners: Error estimators and adaptive algorithms...

Algorithm 858
 Referenced in 13 articles
[sw09120]
 Gamma function Γ(a,z). Accurate error estimates are included in the algorithm, which...

BACOL
 Referenced in 8 articles
[sw00064]
 balancing both spatial and temporal error estimates. The software implements a spline collocation method ... high quality a posteriori spatial error estimate is obtained after each successful time step...

Stem
 Referenced in 35 articles
[sw12287]
 using the EM algorithm, estimation of the parameter standard errors using a spatiotemporal parametric...

QCAPro
 Referenced in 11 articles
[sw22782]
 QCAPro  An ErrorPower Estimation Tool for QCA Circuit Design. n this work we present ... novel probabilistic modeling tool (QCAPro) to estimate polarization error and non adiabatic switching power loss ... uses a fast approximation based technique to estimate highly erroneous cells in QCA circuit design ... power expended. QCAPro can be used to estimate average power loss, maximum and minimum power...

dd_tools
 Referenced in 9 articles
[sw14334]
 methods for generating artificial outliers, estimating the different errors the classifiers ... make (false positive and false negative errors), estimating the ROC curve, the AUC (Area under...

TIFISS
 Referenced in 9 articles
[sw23889]
 algorithm employs a hierarchical a posteriori error estimation strategy which also provides effective estimates...