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Exact(31)
The cumulative error of the method was less than 15%.
Local truncation error of the method is discussed.
Repeat experiments are done to determine the expected error of the method.
Using Taylor expansion we derive exact functional relationships for the elimination of the linearized leading error of the method.
The truncation error of the method is analyzed, which shows that the method is second-order accurate.
In this paper, a finite difference method is used to approximate for the solution of the parabolic partial differential equation of order 2n and error of the method is determined.
Similar(29)
More importantly, the error of the methods exhibits a cutoff phenomenon that allows for optimal parameter choices.
This measures the type I error of the methods.
A simulation study was also performed to examine the type-I error of the methods.
The precision (standard deviation of the error) of the methods was similar (0.84 vs 0.79 mm medially and both 0.46 mm laterally).
We aimed to compare the type-I error of the methods as well as to test how pathway size affects their type-I error.
More suggestions(16)
inaccuracies of the method
errors of the method
issues of the method
error of the estimate
error of the measurement
error of the game
error of the day
error of the regression
error of the difference
error of the season
error of the output
error of the mean
bias of the method
error of the derived
error of the calculated
error of the used
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com