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The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is one of the most important distributions in statistics. Use the [normality-assumption] tag for asking about testing for normality.

2 votes

Normality testing with very large sample size?

As @gg pointed out in a comment, this entire discussion in pointless without defining how normal-like does data have to be for us to consider it "normal enough". In practice, I often like the followin …
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0 votes

Does Normality Imply Randomness?

Well, by "randomness", I assume you mean "independence" (i.e: what happens on minute $x$ has nothing to do with what happens on minute $y$) for any $x$ and $y$ you may choose. If that's the case, then …
David's user avatar
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0 votes

BIC in practice with gaussian distribution

I don't see any particular reason for not estimating $\sigma$ as in any Gaussian process, with sample standard deviation given a sample of outputs from the neural network for some fixed $x, \omega$ B …
David's user avatar
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2 votes

Why Normality assumption in linear regression

When working with those hypothesis, squared-erros based regression and maximum likelihood provide you the same solution. You are also capable of getting simple F-tests for coefficient significance, as …
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