Question

How determine the method of moments to this "quasi-Rayleigh" distribution?

score 63 · Answer 1 · 2026-04-11 04:51:21

63

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How determine the method of moments to this "quasi-Rayleigh" distribution?

Published on 11 Apr 2026 - 4:51

score 29 · Answer 2 · 2026-04-16 02:51:08

29

Views

Is $\theta=\bar{x}$ a sufficient estimator of $f(x)=\dfrac{1}{\theta}\left(1-\dfrac{1}{\theta}\right)^{x-1}, \ x=1,2,3...$?

Published on 16 Apr 2026 - 2:51

score 121 · Answer 3 · 2026-04-16 03:38:47

121

Views

Information Theoretic View of Stein's Lemma

Published on 16 Apr 2026 - 3:38

score 73 · Answer 4 · 2026-04-12 23:04:16

73

Views

Number and Density of Possible Checkmates

Published on 12 Apr 2026 - 23:04

score 66 · Answer 5 · 2026-04-14 08:32:13

66

Views

Normal Distribution with $95\%$ confidence interval

Published on 14 Apr 2026 - 8:32

score 28 · Answer 6 · 2026-04-09 16:50:58

28

Views

Convergence in Law for Sum of gamma variables

Published on 09 Apr 2026 - 16:50

score 33 · Answer 7 · 2026-04-16 01:40:07

33

Views

Why does T(x) = R(S(x)) for all x?

Published on 16 Apr 2026 - 1:40

score 278 · Answer 8 · 2026-04-15 16:53:06

278

Views

Sample Pearson correlation coefficient

Published on 15 Apr 2026 - 16:53

score 84 · Answer 9 · 2026-04-15 11:06:01

84

Views

A weaker version of sample quantile

Published on 15 Apr 2026 - 11:06

score 642 · Answer 10 · 2026-04-14 14:58:49

642

Views

Sampling from a high-dimensional multivariate Gaussian distribution when low-rank approximation for the inverse of the covariance matrix is available

Published on 14 Apr 2026 - 14:58

score 15 · Answer 11 · 2026-04-16 08:54:46

15

Views

Why are these numbers are an inferential and a descriptive statistic?

Published on 16 Apr 2026 - 8:54

score 149 · Answer 12 · 2026-04-14 04:56:49

149

Views

What is the probability of the student to get 95 points on the exam

Published on 14 Apr 2026 - 4:56

score 72 · Answer 13 · 2026-04-09 12:56:36

72

Views

Using $\mathop{\mathbb{E}}(\boldsymbol{T}(\boldsymbol{X_1}, ..., \boldsymbol{X_n}))=\boldsymbol{T}(\boldsymbol{x_1}, ..., \boldsymbol{x_n})$

Published on 09 Apr 2026 - 12:56

score 262 · Answer 14 · 2026-04-16 20:45:57

262

Views

Product of correlated random variables and its transformation

Published on 16 Apr 2026 - 20:45

score 18 · Answer 15 · 2026-04-10 02:23:36

18

Views

Does prior in bayesian inference necessarily increase the bias?

Published on 10 Apr 2026 - 2:23

List Question

How determine the method of moments to this "quasi-Rayleigh" distribution?

Is $\theta=\bar{x}$ a sufficient estimator of $f(x)=\dfrac{1}{\theta}\left(1-\dfrac{1}{\theta}\right)^{x-1}, \ x=1,2,3...$?

Information Theoretic View of Stein's Lemma

Number and Density of Possible Checkmates

Normal Distribution with $95\%$ confidence interval

Convergence in Law for Sum of gamma variables

Why does T(x) = R(S(x)) for all x?

Sample Pearson correlation coefficient

A weaker version of sample quantile

Sampling from a high-dimensional multivariate Gaussian distribution when low-rank approximation for the inverse of the covariance matrix is available

Why are these numbers are an inferential and a descriptive statistic?

What is the probability of the student to get 95 points on the exam

Using $\mathop{\mathbb{E}}(\boldsymbol{T}(\boldsymbol{X_1}, ..., \boldsymbol{X_n}))=\boldsymbol{T}(\boldsymbol{x_1}, ..., \boldsymbol{x_n})$

Product of correlated random variables and its transformation

Does prior in bayesian inference necessarily increase the bias?

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