Question

Is there a rule that can be used to easily approximate the pdf(x) for normal distribution?

score 35 · Answer 1 · 2014-12-14 19:51:21

35

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Is there a rule that can be used to easily approximate the pdf(x) for normal distribution?

Published on 14 Dec 2014 - 19:51

score 634 · Answer 2 · 2026-03-28 06:40:00

634

Views

Normal approximation of Poisson Distribution

Published on 28 Mar 2026 - 6:40

score 822 · Answer 3 · 2014-12-15 14:33:21

822

Views

Conditional probability for two normal distributed variables.

Published on 15 Dec 2014 - 14:33

score 746 · Answer 4 · 2014-12-15 22:47:16

746

Views

How to show that normal random variables U1 and U2 are independent?

Published on 15 Dec 2014 - 22:47

score 58 · Answer 5 · 2014-12-15 23:28:28

58

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Find the unit vector so that this condition is true.

Published on 15 Dec 2014 - 23:28

score 882 · Answer 6 · 2026-03-29 08:44:26

882

Views

When using the Central Limit Theorem, how to scale the mean and variance depending on the number of samples?

Published on 29 Mar 2026 - 8:44

score 3k · Answer 7 · 2026-03-29 08:44:41

3k

Views

Calculating the probability of winning roulette after x bets

Published on 29 Mar 2026 - 8:44

score 1.6k · Answer 8 · 2014-12-16 20:13:50

1.6k

Views

Probability of a point from one normal distribution being higher than a point from another independent normal distribution

Published on 16 Dec 2014 - 20:13

score 41.1k · Answer 9 · 2014-12-17 21:28:14

41.1k

Views

Adding and Subtracting Normal Distributions

Published on 17 Dec 2014 - 21:28

score 74 · Answer 10 · 2026-03-29 17:05:49

74

Views

Statistics questions (normal distribution and possibly gamma function)

Published on 29 Mar 2026 - 17:05

score 9.2k · Answer 11 · 2026-03-25 09:24:27

9.2k

Views

What does rotational invariance mean in statistics?

Published on 25 Mar 2026 - 9:24

score 623 · Answer 12 · 2014-12-19 12:33:41

623

Views

Iso-density locus of Gaussian mixture distribution

Published on 19 Dec 2014 - 12:33

score 113 · Answer 13 · 2014-12-19 16:14:02

113

Views

$G_n:=\sqrt{n} \left(X_n-1\right) \xrightarrow[n]{d} N(\mu,\sigma^2) $ implies $\sqrt{n} \left(1-X_n^{-1}\right)=G_n+o_P(1)$

Published on 19 Dec 2014 - 16:14

score 692 · Answer 14 · 2014-12-20 19:48:53

692

Views

$P(X=c)=0$ for normally distributed $X$?

Published on 20 Dec 2014 - 19:48

score 117 · Answer 15 · 2014-12-20 20:54:02

117

Views

An integral with density function of $N(\hat{a}, \frac{1}{s})$

Published on 20 Dec 2014 - 20:54

List Question

Is there a rule that can be used to easily approximate the pdf(x) for normal distribution?

Normal approximation of Poisson Distribution

Conditional probability for two normal distributed variables.

How to show that normal random variables U1 and U2 are independent?

Find the unit vector so that this condition is true.

When using the Central Limit Theorem, how to scale the mean and variance depending on the number of samples?

Calculating the probability of winning roulette after x bets

Probability of a point from one normal distribution being higher than a point from another independent normal distribution

Adding and Subtracting Normal Distributions

Statistics questions (normal distribution and possibly gamma function)

What does rotational invariance mean in statistics?

Iso-density locus of Gaussian mixture distribution

$G_n:=\sqrt{n} \left(X_n-1\right) \xrightarrow[n]{d} N(\mu,\sigma^2) $ implies $\sqrt{n} \left(1-X_n^{-1}\right)=G_n+o_P(1)$

$P(X=c)=0$ for normally distributed $X$?

An integral with density function of $N(\hat{a}, \frac{1}{s})$

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