Question

Show an estimator for $f(\theta)=e^{-\theta}$ is consistent

score 103 · Answer 1 · 2026-03-31 11:06:29

103

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Show an estimator for $f(\theta)=e^{-\theta}$ is consistent

Published on 31 Mar 2026 - 11:06

score 58 · Answer 2 · 2026-03-30 00:15:13

58

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Non-identifiable Parameters in Bayesian Normal Mixture Models

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score 117 · Answer 3 · 2026-03-27 23:01:33

117

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Variance of sample fourth moment

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score 14 · Answer 4 · 2026-03-03 02:00:54

14

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Testing predictability of a predictor of expected weekely returns on the stock market

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score 112 · Answer 5 · 2023-03-13 22:52:23

112

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Expected value of an estimator of scale parameter of the Weibull distribution

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score 47 · Answer 6 · 2026-03-31 12:16:03

47

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Reliability model

Published on 31 Mar 2026 - 12:16

score 41 · Answer 7 · 2023-03-14 20:24:40

How to calculate the expected correlation between N normally distributed variables which are all coupled by the same correlation, given a sample set?

score 56 · Answer 8 · 2026-03-29 09:08:31

56

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Justifying data samples are from different distribution.

Published on 29 Mar 2026 - 9:08

score 23 · Answer 9 · 2026-03-29 19:14:36

23

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Is the pursuit of asymptotic variance for a novel estimator always required even if the estimator itself is complicated?

Published on 29 Mar 2026 - 19:14

score 150 · Answer 10 · 2023-03-21 03:44:58

150

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The complete sufficient statistics for uniform distribution

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score 89 · Answer 11 · 2023-03-21 18:50:59

89

Views

If a sequence of random variables converges in probability to $0$, will the sequence still converge to $0$ when multiplied by $\sqrt n$

Published on 21 Mar 2023 - 18:50

score 56 · Answer 12 · 2026-04-01 07:54:50

56

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Relationship between the Fundamental Lemma of Calculus of Variations and Completeness in Statistical Inference

Published on 01 Apr 2026 - 7:54

score 214 · Answer 13 · 2026-02-23 06:41:04

214

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Find UMVUE of $\theta^k= P(X_1=1,...,X_k=1)$, where $k = 1,...,n$, given a random sample from Bernoulli$(1,\theta)$

Published on 23 Feb 2026 - 6:41

score 52 · Answer 14 · 2023-03-29 02:40:14

52

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Find an expression for the power function of the test for the uniform distribution

Published on 29 Mar 2023 - 2:40

score 181 · Answer 15 · 2026-03-31 03:58:14

181

Views

Prove that there is no unbiased estimator for $1/ \theta$ when we have one observation from $U(0,\theta)$.

Published on 31 Mar 2026 - 3:58

List Question

Show an estimator for $f(\theta)=e^{-\theta}$ is consistent

Non-identifiable Parameters in Bayesian Normal Mixture Models

Variance of sample fourth moment

Testing predictability of a predictor of expected weekely returns on the stock market

Expected value of an estimator of scale parameter of the Weibull distribution

Reliability model

How to calculate the expected correlation between N normally distributed variables which are all coupled by the same correlation, given a sample set?

Justifying data samples are from different distribution.

Is the pursuit of asymptotic variance for a novel estimator always required even if the estimator itself is complicated?

The complete sufficient statistics for uniform distribution

If a sequence of random variables converges in probability to $0$, will the sequence still converge to $0$ when multiplied by $\sqrt n$

Relationship between the Fundamental Lemma of Calculus of Variations and Completeness in Statistical Inference

Find UMVUE of $\theta^k= P(X_1=1,...,X_k=1)$, where $k = 1,...,n$, given a random sample from Bernoulli$(1,\theta)$

Find an expression for the power function of the test for the uniform distribution

Prove that there is no unbiased estimator for $1/ \theta$ when we have one observation from $U(0,\theta)$.

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