estimation of error 
Consistent nonparametric estimation of error distributions in linear model


The existence and uniqueness theorem of its solution is proved by the perturbation method and the estimation of error for its approximate solution is given.


Estimation of error variance in oneway random model


The criterion used is the estimation of error variance.


We investigated the correlation coefficient (r) and standard estimation of error (SEE) between the latter ten static images and the DV image using the pixelbypixel method, thereby determining the optimum acquisition phase.


This may lead to inappropriate estimation of error terms.


A priori bounds are derived that reduce the estimation of error to problems in approximation theory.


Under known discharge, the convergence and stability of the method have been proved and an estimation of error has been obtained.


Such designs suffer from one drawback viz., there are only a few or no degrees of freedom left for the estimation of errorvariance,σ2.


We consider the estimation of error rate of the linear combination classification procedure by using the leaveoneout estimation and bootstrap estimation.


Estimation of error variance in ANOVA model and order restricted scale parameters


We consider the estimation of error variance in the analysis of experiments using two level orthogonal arrays.


Estimation of error in measurement of maximum stresses in the ground during an explosion


The approach was based on applications of the FourierLaplace transforms, which allowed one to reduce the problem to estimation of error terms in the Law of Large Numbers.


Preliminary estimation of error in an external photoelectric transducer


Estimation of error in determination of 1/f spectrum parameters


Intransitive cycles: Rational choice or random error An answer based on estimation of error rates with experimental data


Estimation of error of polynomial approximation of solutions of ordinary differential equations


Estimation of Error in Curvature Computation on MultiScale FreeForm Surfaces


When dealing with waveform simulations, we also look at Montecarlo and importance sampling techniques that allow efficient estimation of error probabilities.

