Question

Counterproof for sufficient statistic as well as an example for minimal sufficient statistic

score 348 · Answer 1 · 2026-03-25 04:57:19

348

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Counterproof for sufficient statistic as well as an example for minimal sufficient statistic

Published on 25 Mar 2026 - 4:57

score 23 · Answer 2 · 2026-03-28 17:42:04

23

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Statistical test for figuring out if a rater is biased?

Published on 28 Mar 2026 - 17:42

score 396 · Answer 3 · 2016-12-07 21:15:54

396

Views

Finding the joint cdf from a pdf

Published on 07 Dec 2016 - 21:15

score 30 · Answer 4 · 2016-12-07 22:24:25

30

Views

Calculating a probability of some constant $a$ where $(X,Y)$ is a random point uniformly distributed

Published on 07 Dec 2016 - 22:24

score 71 · Answer 5 · 2026-03-30 04:25:19

71

Views

Exercise related to estimator of variance of r.v. with unknown distribution

Published on 30 Mar 2026 - 4:25

score 486 · Answer 6 · 2026-03-30 04:25:33

486

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MSE of unbiased estimator of the population mean

Published on 30 Mar 2026 - 4:25

score 2k · Answer 7 · 2026-03-28 01:07:36

2k

Views

Maximum likelihood estimator of $p(1-p)$, where $p$ is the parameter of a Bernoulli distribution

Published on 28 Mar 2026 - 1:07

score 99 · Answer 8 · 2026-02-24 12:57:38

99

Views

Confidence interval related to $\max X_i$ and $\min X_i$ if iid continuous random variables

Published on 24 Feb 2026 - 12:57

score 1.7k · Answer 9 · 2026-03-29 07:32:15

1.7k

Views

ML estimator of an double exponential distribution

Published on 29 Mar 2026 - 7:32

score 857 · Answer 10 · 2026-03-29 05:50:05

857

Views

Find the minimum-variance unbiased estimator for given $\tau(\theta)$

Published on 29 Mar 2026 - 5:50

score 74 · Answer 11 · 2026-03-28 12:39:15

74

Views

Asymptotics of arg max estimator

Published on 28 Mar 2026 - 12:39

score 228 · Answer 12 · 2026-02-23 06:18:39

228

Views

Finding Cramer Rao Lower bound for a bivariate parameter

Published on 23 Feb 2026 - 6:18

score 39 · Answer 13 · 2016-12-13 03:26:47

39

Views

If $X$ conditional on $Y$ yields a certain distribution, how can we formally express $X|Y$ as a random variable?

Published on 13 Dec 2016 - 3:26

score 165 · Answer 14 · 2016-12-13 04:33:23

165

Views

Why can we restate the standard definition of almost sure convergence in terms of the limit infimum of sets?

Published on 13 Dec 2016 - 4:33

score 90 · Answer 15 · 2016-12-13 06:07:39

90

Views

$X_i \sim \operatorname{Unif}(0,1)$, and for $\varepsilon >0$, $P(|X_{(n)}-1|\geq \varepsilon) =(1-\varepsilon)^n$. Must we bound $\varepsilon$?

Published on 13 Dec 2016 - 6:07

List Question

Counterproof for sufficient statistic as well as an example for minimal sufficient statistic

Statistical test for figuring out if a rater is biased?

Finding the joint cdf from a pdf

Calculating a probability of some constant $a$ where $(X,Y)$ is a random point uniformly distributed

Exercise related to estimator of variance of r.v. with unknown distribution

MSE of unbiased estimator of the population mean

Maximum likelihood estimator of $p(1-p)$, where $p$ is the parameter of a Bernoulli distribution

Confidence interval related to $\max X_i$ and $\min X_i$ if iid continuous random variables

ML estimator of an double exponential distribution

Find the minimum-variance unbiased estimator for given $\tau(\theta)$

Asymptotics of arg max estimator

Finding Cramer Rao Lower bound for a bivariate parameter

If $X$ conditional on $Y$ yields a certain distribution, how can we formally express $X|Y$ as a random variable?

Why can we restate the standard definition of almost sure convergence in terms of the limit infimum of sets?

$X_i \sim \operatorname{Unif}(0,1)$, and for $\varepsilon >0$, $P(|X_{(n)}-1|\geq \varepsilon) =(1-\varepsilon)^n$. Must we bound $\varepsilon$?

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