Question

Can the Central Limit Theorem be applied here?

score 68 · Answer 1 · 2026-03-25 23:16:17

68

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Can the Central Limit Theorem be applied here?

Published on 25 Mar 2026 - 23:16

score 891 · Answer 2 · 2019-01-29 22:33:51

891

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Definition: what is the difference between generating a random variable versus generating a random number?

Published on 29 Jan 2019 - 22:33

score 88 · Answer 3 · 2026-03-25 06:18:54

88

Views

Black Box optimization of expectation value from probability distribution valued function

Published on 25 Mar 2026 - 6:18

score 198 · Answer 4 · 2026-02-23 13:00:31

198

Views

Changing the null hypothesis in a t-test

Published on 23 Feb 2026 - 13:00

score 1.4k · Answer 5 · 2026-03-26 12:34:51

1.4k

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Monotone Likelihood ratio and Karlin-Rubin test

Published on 26 Mar 2026 - 12:34

score 727 · Answer 6 · 2019-01-30 19:38:24

727

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Sufficient statistics for a discrete distribution

Published on 30 Jan 2019 - 19:38

score 445 · Answer 7 · 2019-01-30 20:58:30

445

Views

Sufficient statistic for $N(\mu,1)$

Published on 30 Jan 2019 - 20:58

score 110 · Answer 8 · 2019-01-30 22:46:03

110

Views

Show how to form a location-scale family $g(x)$ based on $f(x)$ such that $g(x)$ has mean $0$ and variance $1$.

Published on 30 Jan 2019 - 22:46

score 133 · Answer 9 · 2019-01-31 14:37:51

133

Views

Why do you use Z statistics instead of T for inference on categorical variables?

Published on 31 Jan 2019 - 14:37

score 83 · Answer 10 · 2019-02-02 18:00:34

83

Views

What is the distribution followed by this function of random variables

Published on 02 Feb 2019 - 18:00

score 134 · Answer 11 · 2019-02-03 02:45:12

134

Views

Approximating probability of Cumulative Sum of random variables samples from Uniform[-1,1]

Published on 03 Feb 2019 - 2:45

score 469 · Answer 12 · 2026-03-26 13:42:20

469

Views

Doubt in proof for Complete Statistic for Uniform Distribution

Published on 26 Mar 2026 - 13:42

score 90 · Answer 13 · 2026-03-25 17:33:54

90

Views

Show that the statistics $T(X_1,\ldots,X_n)=(X_{(1)},X_{(n)})$ is a sufficient statistics for $\theta$

Published on 25 Mar 2026 - 17:33

score 72 · Answer 14 · 2026-03-25 20:36:40

72

Views

Let $X_1,X_2...X_n $ be a random sample from a $N(\theta ,\theta^2 )$ distribution, where $\theta >0$ is unknown.

Published on 25 Mar 2026 - 20:36

score 46 · Answer 15 · 2026-03-26 12:52:54

46

Views

Finding bayesian estimator associated to entropy distance/ kullback-leibler

Published on 26 Mar 2026 - 12:52

List Question

Can the Central Limit Theorem be applied here?

Definition: what is the difference between generating a random variable versus generating a random number?

Black Box optimization of expectation value from probability distribution valued function

Changing the null hypothesis in a t-test

Monotone Likelihood ratio and Karlin-Rubin test

Sufficient statistics for a discrete distribution

Sufficient statistic for $N(\mu,1)$

Show how to form a location-scale family $g(x)$ based on $f(x)$ such that $g(x)$ has mean $0$ and variance $1$.

Why do you use Z statistics instead of T for inference on categorical variables?

What is the distribution followed by this function of random variables

Approximating probability of Cumulative Sum of random variables samples from Uniform[-1,1]

Doubt in proof for Complete Statistic for Uniform Distribution

Show that the statistics $T(X_1,\ldots,X_n)=(X_{(1)},X_{(n)})$ is a sufficient statistics for $\theta$

Let $X_1,X_2...X_n $ be a random sample from a $N(\theta ,\theta^2 )$ distribution, where $\theta >0$ is unknown.

Finding bayesian estimator associated to entropy distance/ kullback-leibler

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