Question

Maximum likelihood estimation for binomial experiments with unknown number of trials

score 372 · Answer 1 · 2020-07-16 09:28:35

372

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Maximum likelihood estimation for binomial experiments with unknown number of trials

Published on 16 Jul 2020 - 9:28

score 988 · Answer 2 · 2020-07-17 23:27:36

988

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MSE for MLE of normal distribution's ${\sigma}^2$

Published on 17 Jul 2020 - 23:27

score 95 · Answer 3 · 2020-07-19 01:08:30

95

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Maximum likelihood estimation steps

Published on 19 Jul 2020 - 1:08

score 141 · Answer 4 · 2020-07-20 13:35:05

141

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Clarification on Likelihod and Maximum Likelihood Estimation (MLE) Notation; PLUS a solution for taking into account the uncertainty of data points

Published on 20 Jul 2020 - 13:35

score 136 · Answer 5 · 2020-07-24 21:23:09

136

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Checking the MLE is consistent or not in $\mathcal{N}(\theta,\tau\theta)$.

Published on 24 Jul 2020 - 21:23

score 249 · Answer 6 · 2026-03-26 03:12:36

249

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Suppose a pair of random variable is independent from another pair, does it mean that each random variable is independent from the other?

Published on 26 Mar 2026 - 3:12

score 3.1k · Answer 7 · 2026-03-25 23:37:14

3.1k

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MLE of variance minimising the mean squared error

Published on 25 Mar 2026 - 23:37

score 1.5k · Answer 8 · 2016-07-19 15:16:00

1.5k

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Maximum Likelihood Estimate of a a discrete r.d - I spent more than 4 hours on this questions, help!!

Published on 19 Jul 2016 - 15:16

score 142 · Answer 9 · 2016-07-23 13:34:18

142

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Maximum Likelihood Estimation: Multivariate Gaussian function. Matrix calculus

Published on 23 Jul 2016 - 13:34

score 28 · Answer 10 · 2016-07-25 16:00:55

28

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Why is $(1/n)\sum_{i=1}^{n}x^T_iMx_i=\operatorname{tr}[1/nx^T_ix_iM]$

Published on 25 Jul 2016 - 16:00

score 34 · Answer 11 · 2016-07-25 19:59:37

34

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Problems on continous random variable, probability, estimates.

Published on 25 Jul 2016 - 19:59

score 839 · Answer 12 · 2016-08-01 03:24:23

839

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How to find MLE of variance

Published on 01 Aug 2016 - 3:24

score 435 · Answer 13 · 2016-08-02 17:38:10

435

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Likelihood function of $\sigma^2$ for two normal populations

Published on 02 Aug 2016 - 17:38

score 322 · Answer 14 · 2016-08-03 15:02:44

322

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Maximum likelihood estimator for translated uniform distribution

Published on 03 Aug 2016 - 15:02

score 108 · Answer 15 · 2016-08-07 16:09:12

108

Views

Questioning the if this estimator $\min\{\ Y_1,0\}$ is unbiased and consistent, where $Y_1=\min X_k, X_k: U(0, \theta)$

Published on 07 Aug 2016 - 16:09

List Question

Maximum likelihood estimation for binomial experiments with unknown number of trials

MSE for MLE of normal distribution's ${\sigma}^2$

Maximum likelihood estimation steps

Clarification on Likelihod and Maximum Likelihood Estimation (MLE) Notation; PLUS a solution for taking into account the uncertainty of data points

Checking the MLE is consistent or not in $\mathcal{N}(\theta,\tau\theta)$.

Suppose a pair of random variable is independent from another pair, does it mean that each random variable is independent from the other?

MLE of variance minimising the mean squared error

Maximum Likelihood Estimate of a a discrete r.d - I spent more than 4 hours on this questions, help!!

Maximum Likelihood Estimation: Multivariate Gaussian function. Matrix calculus

Why is $(1/n)\sum_{i=1}^{n}x^T_iMx_i=\operatorname{tr}[1/nx^T_ix_iM]$

Problems on continous random variable, probability, estimates.

How to find MLE of variance

Likelihood function of $\sigma^2$ for two normal populations

Maximum likelihood estimator for translated uniform distribution

Questioning the if this estimator $\min\{\ Y_1,0\}$ is unbiased and consistent, where $Y_1=\min X_k, X_k: U(0, \theta)$

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