Your English writing platform
Discover LudwigSimilar(59)
The errors are given as ±1 standard deviation.
The errors are independent.
The approximation error can be controlled by an error estimation.
Instead, given some 0 < ϑ < ∞, we assume that we can compute another discrete approximation U ˜ (T ) ∈ X (T ) such that (7.1) Here, we assume that the error introduced by the inexact solve is controlled by the corresponding error estimator.
The multiple comparison type I error rate was controlled using a false discovery rate criterion procedure41.
If so, what is our fix, given the errors below?
The stability of the numerical solution is maintained and the accuracy is controlled by keeping the local error below a given threshold using PI-control.
On the other hand, the results from qRT-PCR demonstrated that type II errors (false negatives) can be controlled, given certain cut-off P value from microarray analysis (100% true false, given P > 0.05).
DFSP can in this way give great enhancements in simulation speed at the cost of approximation errors which can be controlled (see [ 32] for a more extensive analysis).
The errors were numerous.
Procedures that attempt to control error should be examined in the light of what they are controlling and how accurately they control it given what is known about the experiments.
Write better and faster with AI suggestions while staying true to your unique style.
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