Statistical parameters such as maximum error in the Kolmogorov-Smirnov test, root mean square error, Chi-square error, coefficient of determination, and power density error are considered as judgment criteria to assess the fitness of the probability density functions.
The roots mean squared error, coefficient of determination, and the predicted value were used to determine the fitness of the model.
Three statistical indicators namely root means square error, coefficient of determination and Pearson coefficient were used to access the capability of the developed approaches for exergetic performance modelling of the DI diesel engine.
This made it possible to determine the actual error of position determination for each of the rides (Table 5).
Figures 9(b)–9(d) illustrate how the positioning error of cube determination changes with time.
The relative installation error of attitude determination is mostly reduced and the estimation precision is improved greatly.
In optimal conditions the error of the determination is 0.5%, so part of this paper deals with different modification in the technique to obtain more accurate results [5].
This is likely due to that the large subunit has more weight to contribute to the final projection, leading to a smaller error of orientation determination.
The relative error of 235U determination was ca. 1%, which is comparable to or excels the values, obtained by the competitive approaches (e.g. laser ablation inductively coupled plasma mass spectrometry, accelerator mass spectrometry or resonance ionization mass spectrometry).
Although this might be due to the fact that the expected increase (around a 10% of TUJ1 positive cells in the control, Fig. 4G) is in the range of the experimental error of the determination of BrdU labelled cells, these results raise the question of whether NOTCH signalling is required to maintain proliferation of these cells.
