3 ms·

check my other response, it's very much a bell curve, statistically speaking https://postimg.cc/n9nZGLmb https://postimg.cc/n9nZGLmb

• j_maffe 3mo ago
  > statistically speaking That's a very big word you're using there for what is basically making shapes out of clouds. A bell-curve is the amortised function of a random variable with a mean and standar deviation. What does that have to do with a timeseries dataset?
  • khalic 3mo ago
    A bell curve is not an "amortised function." Amortization applies to accounting and algorithmic time complexity, not probability distributions. You're likely thinking of a Probability Density Function (PDF). If you are going to police terminology, it helps to use the correct words. Second, fitting a curve with an R^2 of 0.911 is the exact opposite of "making shapes out of clouds.
  • antonvs 3mo ago
    > A bell-curve is the amortised function of a random variable with a mean and standard deviation. The general notion of a bell-shaped curve is broader than that. Wikipedia has a reasonable overview: https://en.wikipedia.org/wiki/Bell-shaped_function https://en.wikipedia.org/wiki/Bell-shaped_function > “typically continuous or smooth, asymptotically approach zero for large negative/positive x, and have a single, unimodal maximum at small x.”