Your English writing platform
Discover LudwigSimilar(60)
The least significant change derived as 2*√2*standard error of the mean is a statistical approach of resolution.
The least significant difference (LSD) procedure was used to protect against the inflation of the Type I error rate due to the multiple pairwise comparisons.
The least significant change of the measure was 25%%.
The least significant range, Rp, for subsets of p sample means is given by: Where rp is called the least significant studentized range and depends upon the error degrees of freedom and the numbers of means in the subset.
The least significant difference (L.S.D).
Another kind of approximation technique is the reverse carry propagation [28] where approximations are introduced only in the least significant bits, which ensures that the error introduced is of small magnitude.
We performed post hoc tests using the least significant difference method to account for comparisonwise error rate.
LDPC channel coding is performed sequentially from the most significant bit (MSB) plane to the least significant bit (LSB) plane with the assumption that the error probability in any one bitplane is stationary.
The error of the measuring technique is directly related to the magnitude of the least significant change (LSC).
The MATLAB function robustfit also returns estimates of the standard error for each α-coefficient, and these were used to iteratively discard the least significant transcription factors.
It's one of the least significant areas".
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