Sentence examples for average errors and from inspiring English sources
This paper discusses the estimation of regression and variance functions in nonparametric heteroscedastic regression models with long memory moving average errors and uniform nonrandom design on the unit interval.
The mechanistic bubble departure diameter model of Klausner et al. and its recent modification by Yun et al. were found to correctly predict all the observed parametric trends, but with large average errors and standard deviation: 65.5 ± 75.8% for Klausner's and 37.9 ± 51.2% for Yun's.
For example, Test 3 shows very small average errors, and these errors are almost the same as those in Test 1.
The semi-parametric method corrects the estimator for both autoregressive and moving average errors, and this implies that it is possible to determine the significance of these parameters via conventional inference as long as the regressors are I(1) except for series that are truly exogenous.
We calculate the overall mean of these average errors and the average of the μ values over the 100 initial conditions.
Aside from minimizing the error in [ Eq. (4 )], we want our estimates to be fairly consistent across the 100 random initial conditions for which we obtain 100 different values for average errors and nonadditive set functions.
The proposed converter features high accuracy, very small average error and high linear range.
The correction term is statistically significant (F-test), and it reduces the average error and maximal error of the prediction by a factor of two.
Good agreement is achieved with an average error and correlation coefficient of 2.09, 97% and 3.3 and 95.5% for CFD simulation and mathematical model respectively.
Results are promising especially if compared to earlier slamming studies for regular/irregular waves in controlled towing tank tests, which show average error and validation uncertainty of 25%and10%0%.
In the second part, models to calculate the overall constitutive law in compression are examined and the average error and coefficient of variation are calculated for each model.
