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 …
regression - Standard error of the root mean squared predition …
Apr 18, 2025 · Use the sample mean SE (Section 2) to compute the MCSE for the average RMSE across simulation runs—standard and reliable. For a more robust SE in practice (especially …
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 …
mean - Difference between standard error and standard deviation
Nov 3, 2017 · I'm struggling to understand the difference between the standard error and the standard deviation. How are they different and why do you need to measure the standard ...
mean - "Averaging" variances - Cross Validated
May 6, 2017 · I need to obtain some sort of "average" among a list of variances, but have trouble coming up with a reasonable solution. There is an interesting discussion about the differences …
Calculate standard deviation from sample size, mean, and …
Jan 2, 2018 · If you are assuming a normal distribution then the formula for the endpoints of the confidence interval is strictly a function of the sample standard deviation. The other variables …
What do the bars in ggdist::stat_halfeye() mean? - Cross Validated
Jun 15, 2023 · The point and lines you are asking about is determined by the point_interval argument in the ggdist::stat_halfeye function. The default is "median_qi" meaning the point is …
Should I use 'median' instead of 'mean' for nonparametric …
Jun 6, 2020 · The mean has a proper interpretation outside normal distributions, and it can have problems, such as its vulnerability to outliers (which in some applications is more of a problem …
Mean Squared Error Vs Sum Squared Error - Cross Validated
Apr 9, 2020 · What is the difference between Mean Squared Error and Sum Squared Error in Linear regression?
Which is better, replacement by mean and replacement by median?
Mar 27, 2015 · Replacement by mean or median --- or mode -- is in effect saying that you have no information on what a missing value might be. It is hard to know why imputation is though to …