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This is because the sample mean value has been ignored in ordinary kriging estimation.
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Because the sample means are below that predicted under additivity, there is evidence of an interaction (greater than additivity) at these dose groups.
As we mentioned before, the sampling uncertainty surrounding the sample mean (mu ) is asymptotically inconsequential because the information matrix is block diagonal.
The figure does not distinguish our estimation and the sample mean for E V G (G k )), because the difference is too small with respect to the actual value.
In (24), we substitute the sample mean and median value into d i (i=1,⋯,M) because the true distance values are unknown.
where is the sample mean,.
where < · > represents the sample mean.
We used 30 replications because a sample size of 30 or more is needed to guarantee the condition that the sample mean approximately follows a normal distribution, according to the Central Limit Theorem for sample means.
Because of this variation, the sample means will have a distribution of their own.
Education was chosen as an individual marker of socioeconomic status because the age group of the sample meant that a large proportion (52%) were retired.
This is because there is less variability between the sample means than between individual values.
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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