Which "mean" to use and when? - Cross Validated
So we have arithmetic mean (AM), geometric mean (GM) and harmonic mean (HM). Their mathematical formulation is also well known along with their associated stereotypical …
mean - How do I calculate confidence intervals for a non-normal ...
You can just use a standard confidence interval for the mean: Bear in mind that when we calculate confidence intervals for the mean, we can appeal to the central limit theorem and use …
How to calculate `mean` and `sd` of lognormal distribution based …
May 29, 2020 · Lognormal distribution as below: estimate meanlog 6.0515 sdlog 0.3703 How to calculate the mean and sd of this distribution?
mean - Is Median Absolute Percentage Error useless? - Cross …
Nov 20, 2022 · I'm working on a project focused on pricing houses. Looking online I see a lot of works and companies providing the performances of their model using the median instead of …
What is implied by standard deviation being much larger than the …
What does it imply for standard deviation being more than twice the mean? Our data is timing data from event durations and so strictly positive. (Sometimes very small negatives show up …
"Difference of the means" vs "mean of differences"
Nov 5, 2024 · One takes the pairwise difference of each point of data [ the mean of the differences ] and the other takes mean A and subtracts it from mean B [ the difference of the …
mean - Is it correct to use plus or minus symbol before standard ...
Apr 21, 2015 · I have represented standard deviation as "±SD" before in publications. But I like to have opinions on this. Is it appropriate to use the notation '±' with SD ? Or ...
regression - When is R squared negative? - Cross Validated
This is because, without the benefit of an intercept, the regression could do worse than the sample mean in terms of tracking the dependent variable (i.e., the numerator could be greater …
What's the difference between "mean independent" and …
Apr 5, 2017 · Mean independence is less restrictive as it is a one number summary of the values of u, for each level of x. To be more exact, mean independence between u and x would mean …
Interpretation of mean absolute scaled error (MASE)
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