2024年11月2日 · What do you mean by "the derivative at 1 SD is +- 1"? Derivative of what? If you mean of a density plot, then what distribution? The normal? Different distributions will have …

The standard normal ranges from −∞ to ∞. Your problem appears to be that your table doesn't go further. Your question should therefore be modified to ask "*How do I deal with the fact that my …

Due to the Central Limit Theorem, we may assume that there are lots of underlying facts affecting the process and the sum of these individual errors will tend to behave like in a zero mean …

2018年9月24日 · What is the distribution of the square of a normally distributed random variable X2 X 2 with X ∼ N(0,σ2/4) X ∼ N (0, σ 2 / 4)? I know χ2(1) = Z2 χ 2 (1) = Z 2 is a valid …

I need to determine the KL-divergence between two Gaussians. I am comparing my results to these, but I can't reproduce their result. My result is obviously wrong, because the KL is not 0 …

2017年1月14日 · How do we go about calculating a posterior with a prior N~(a, b) after observing n data points? I assume that we have to calculate the sample mean and variance of the data …

2016年6月19日 · In any case, many examples abound and looking for distributions with excess kurtosis above 0 is an easy way to find examples. Perhaps the most obvious one (already …

2019年6月24日 · Hypothesis testing such as Anderson-Darling or Shapiro-Wilk's test check normality of a distribution. However, if the sample size is very large, the test is extremely …

2016年11月29日 · What is the difference between a normal distribution and an independent and identical distribution?

Given Z is a standard normal random variable with mean 0 and variance 1 (Z ∼ N(0, 1)), could anyone provide an explanation for why E[Z4] = 3? I know that: E[Z] = μ = 0