List questions from normal-distribution

Published on 14 Apr 2026 - 9:40

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integral of normal distribution

Published on 11 Apr 2026 - 0:04

561

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Probability that a point from one normal distribution is greater than points taken from several other distributions?

Published on 14 Apr 2026 - 21:37

2.8k

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Expected value of $\max\{X,Y\}$ when $(X,Y)$ is bivariate normal

Published on 23 Apr 2026 - 15:10

85

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Normal over Binomial Distribution

Published on 13 Apr 2026 - 1:48

85

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Why does adding 3 random decimals in the range [-1,1] give a normal dist with std. dev 1?

Published on 14 Apr 2026 - 0:54

495

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Standard Brownian Motion

Published on 13 Apr 2026 - 9:22

366

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Analytic proof that $\log{\Phi(x)}$ is concave?

Published on 14 Apr 2026 - 20:55

76k

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How was the normal distribution derived?

Published on 11 Apr 2026 - 12:37

2.7k

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Generalized chi distribution

Published on 14 Apr 2026 - 6:51

81

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Text length probability function that peaks for a an average length

Published on 26 Mar 2026 - 16:04

193

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P.d.f of a discrete fourier transform of binary variables

Published on 13 Apr 2026 - 5:52

48

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Multivariate Distribution Question?

Published on 10 Apr 2026 - 23:35

238

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Multivariate Normal Product Distribution

Published on 14 Apr 2026 - 9:57

1.1k

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Distributing $m$ balls into $n$ urns with no urn left empty.

Published on 15 Apr 2026 - 16:56

List Question

What is the Fourier transform of $f(x)=e^{-x^2}$?

integral of normal distribution

Probability that a point from one normal distribution is greater than points taken from several other distributions?

Expected value of $\max\{X,Y\}$ when $(X,Y)$ is bivariate normal

Normal over Binomial Distribution

Why does adding 3 random decimals in the range [-1,1] give a normal dist with std. dev 1?

Standard Brownian Motion

Analytic proof that $\log{\Phi(x)}$ is concave?

How was the normal distribution derived?

Generalized chi distribution

Text length probability function that peaks for a an average length

P.d.f of a discrete fourier transform of binary variables

Multivariate Distribution Question?

Multivariate Normal Product Distribution

Distributing $m$ balls into $n$ urns with no urn left empty.

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