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The average cost of these solutions and percentage of relative error (Error according to the cost of optimal solution are calculated. The percentage of relative Error is calculated using the following equation.
Data inspection showed no evidence of documentation errors of the cost values for the identified outliers.
With a random tree model, we show that, as the tree depth approaches infinity, the expected number of nodes expanded by branch-and-bound (BnB) using ε-transformation is at most cubic in the search depth, and that the relative error of the solution cost found with respect to the optimal solution cost is bounded above by a small constant.
SUR is a system of equations, allowing any correlation between the error terms of the cost and outcome equations to be captured in the estimation [ 18].
Therefore, we prioritized control of type I error at the cost of statistical power (type II error) in the present study.
Standard errors of the costs were estimated using the non-parametric bootstrap method.
Such analyses are considered to generate robust estimates of standard errors of the costs [ 25].
We show that even quite simple strategies are capable of eliminating fairly large fractions of sequencing errors at the cost of a modest amount of "over-correction".
He described the $15 million penalty paid by Ernst & Young as "not even a cost of doing business, but just a rounding error in the cost of doing business".
From the statistics viewpoint, the eigenvector adjustment controlled the type I error at the cost of the statistical power (inflated the type II error).
Many of the EST clustering approaches, described in the literature, have minimized Type I error at the cost of increased Type II error.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com