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  1. 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 …

  2. Difference in Means vs. Mean Difference - Cross Validated

    Apr 29, 2015 · the distribution of the mean difference should be tighter then the distribution of the difference of means. See this with an easy example: mean in sample 1: 1 10 100 1000 mean …

  3. "Difference of the means" vs "mean of differences"

    Nov 5, 2024 · To put it very simply, you use the mean of differences, when there is a natural pairing between your 2 groups. eg you give people a new toothpaste to try out and you …

  4. 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 …

  5. 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 …

  6. 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 …

  7. How do I interpret mean absolute error (MAE) or mean absolute ...

    Apr 29, 2020 · For example, I am predicting a score that can have value from 0 to 100. Lets assume MAPE = 10 for one case. In other case MAE = 10. How can I interpret it in layman …

  8. When does positive skew imply median<mean? - Cross Validated

    Apr 1, 2024 · The sort of answer I had in mind is one that introduces an additional property of X that is easier to verify than directly computing the skew, mean, and median, like "if X is …

  9. Understanding semi supervised technique called mean teachers

    The way mean teacher does this is by averaging the model parameters over training steps. (Arguably, dropout also adds noise to the model parameters, and thus is another way of …

  10. 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 …