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Covariance of squared bivariate normal random vector

score 127 · Answer 1 · 2018-01-22 04:28:05

127

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Covariance of squared bivariate normal random vector

Published on 22 Jan 2018 - 4:28

score 62 · Answer 2 · 2026-03-26 07:38:31

62

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When/When Not are R.V.s Jointly Continuously Distributed - help with Example?

Published on 26 Mar 2026 - 7:38

score 475 · Answer 3 · 2018-01-22 09:02:20

475

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Strategy in a waiting time game: fisherman's dilemma

Published on 22 Jan 2018 - 9:02

score 275 · Answer 4 · 2026-03-25 01:31:13

275

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What are the exact conditions to get a multivariate gaussian distribution from multiple single gaussian variables?

Published on 25 Mar 2026 - 1:31

score 616 · Answer 5 · 2026-03-25 01:21:28

616

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Derive a sufficient statistic for $\theta$.

Published on 25 Mar 2026 - 1:21

score 50 · Answer 6 · 2026-03-22 10:13:04

50

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Rejecting null based on the likelihood ratio test

Published on 22 Mar 2026 - 10:13

score 481 · Answer 7 · 2026-03-25 01:17:25

481

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Uniformly minimum variance unbiased estimator of theta.

Published on 25 Mar 2026 - 1:17

score 2.3k · Answer 8 · 2026-03-25 01:22:33

2.3k

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Mean squared error of a sample covariance matrix

Published on 25 Mar 2026 - 1:22

score 959 · Answer 9 · 2026-03-25 04:43:28

Help in showing that the estimator $\hat{\sigma}^2= \frac{1}{n}\sum_{i=1}^n (X_i - \overline{X})^2$ is a biased estimator of $\sigma$.

score 964 · Answer 10 · 2026-03-22 16:27:28

964

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confusion on ancillary of gamma distribution

Published on 22 Mar 2026 - 16:27

score 68 · Answer 11 · 2018-01-22 17:47:37

68

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Probability Density Function and IID Random Variables that go to infinite

Published on 22 Jan 2018 - 17:47

score 64 · Answer 12 · 2026-03-29 09:21:49

64

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A simple question on average correlation

Published on 29 Mar 2026 - 9:21

score 67 · Answer 13 · 2018-01-23 00:09:41

67

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If a random variable is defined over a finite support (say [0,1]), must its variance be finite?

Published on 23 Jan 2018 - 0:09

score 286 · Answer 14 · 2026-03-24 19:01:20

286

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How to get exponential regression equation after performing linear regression on the ln transformed equation?

Published on 24 Mar 2026 - 19:01

score 98 · Answer 15 · 2018-01-23 06:34:37

98

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Venn Diagram Probabilities

Published on 23 Jan 2018 - 6:34

List Question

Covariance of squared bivariate normal random vector

When/When Not are R.V.s Jointly Continuously Distributed - help with Example?

Strategy in a waiting time game: fisherman's dilemma

What are the exact conditions to get a multivariate gaussian distribution from multiple single gaussian variables?

Derive a sufficient statistic for $\theta$.

Rejecting null based on the likelihood ratio test

Uniformly minimum variance unbiased estimator of theta.

Mean squared error of a sample covariance matrix

Help in showing that the estimator $\hat{\sigma}^2= \frac{1}{n}\sum_{i=1}^n (X_i - \overline{X})^2$ is a biased estimator of $\sigma$.

confusion on ancillary of gamma distribution

Probability Density Function and IID Random Variables that go to infinite

A simple question on average correlation

If a random variable is defined over a finite support (say [0,1]), must its variance be finite?

How to get exponential regression equation after performing linear regression on the ln transformed equation?

Venn Diagram Probabilities

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