Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
The IGRF-12 model coefficients remain unchanged for epoch 2005 and earlier.
Similar(59)
We have also re-estimated the model by excluding the capital stock and the attendance rate coefficients remain virtually identical.
Only big time frequency coefficients remain visible.
The channel coefficients remain constant over each frame.
Channel coefficients remain the same for two consecutive time intervals.
The results of the independent variables in the spatial lag regression model were similar to the OLS model (p<0.02) and their relative coefficients remained almost the same.
The probability values of the independent variables in the spatial lag regression model were similar to the OLS model (p<0.01) and their relative coefficients remained almost the same.
Similar to the syphilis models, the probability values of the independent variables in the spatial lag regression model were similar to the OLS model (p<0.01) and their relative coefficients remained almost the same.
A multivariate linear regression model was built using a step-wise regression technique, regression coefficients remained in the model at significance level of 0,05.
In models with smaller bandwidths, the coefficients remained essentially unchanged although, as expected, the estimates were less precise.
The secular variation coefficients remained unchanged since we did not include higher order time derivatives in the model.
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