Question

Maximum-likelihood estimator of set of data from Normal Distributions

score 304 · Answer 1 · 2019-06-02 00:14:07

304

Views

Maximum-likelihood estimator of set of data from Normal Distributions

Published on 02 Jun 2019 - 0:14

score 117 · Answer 2 · 2019-06-02 10:16:02

117

Views

(partial) Likelihood function with survival

Published on 02 Jun 2019 - 10:16

score 498 · Answer 3 · 2019-06-04 05:45:09

498

Views

Verification of Sufficiency, Completeness, MLE, UMVUE, and Method of Moments for Estimators of a certain random sample.

Published on 04 Jun 2019 - 5:45

score 90 · Answer 4 · 2019-06-04 12:21:23

90

Views

Maximum Likelihood Estimation with Order Statistics' PDF

Published on 04 Jun 2019 - 12:21

score 50 · Answer 5 · 2019-06-07 13:00:56

50

Views

Scaled conjugate gradient for maximum likelihood estimation of covariance matrix hyperparameters

Published on 07 Jun 2019 - 13:00

score 31 · Answer 6 · 2019-06-08 10:17:51

31

Views

Likelihood for continuous sample

Published on 08 Jun 2019 - 10:17

score 597 · Answer 7 · 2026-03-25 05:05:25

597

Views

Proving that an efficient estimator is the maximum likelihood estimator

Published on 25 Mar 2026 - 5:05

score 51 · Answer 8 · 2019-06-08 15:46:29

51

Views

p-vector uniform distribution in ball and $X_i$ i.i.d exponential distribution ($\lambda$) with $ \theta = E\{ X_1 -t ∣ X_1 \gt t \}$

Published on 08 Jun 2019 - 15:46

score 295 · Answer 9 · 2019-06-09 18:01:41

295

Views

Finding MLE of $\theta$ where $f_X(x;\theta)=1 \space \text{ or} \space \frac{1}{2\sqrt{x}}$

Published on 09 Jun 2019 - 18:01

score 324 · Answer 10 · 2019-06-10 01:42:32

324

Views

MLE of Negative Binomial distributions of different sizes

Published on 10 Jun 2019 - 1:42

score 23 · Answer 11 · 2019-06-12 12:20:26

23

Views

Why must this ratio of these likelihood functions be less than $1$?

Published on 12 Jun 2019 - 12:20

score 13 · Answer 12 · 2026-03-25 20:43:35

13

Views

Optimization using Generalized Newton-Rhapson or Derivative Matching to Beta

Published on 25 Mar 2026 - 20:43

score 600 · Answer 13 · 2019-06-20 21:26:20

600

Views

Indicator of two exponential random variables

Published on 20 Jun 2019 - 21:26

score 94 · Answer 14 · 2019-06-21 16:43:31

94

Views

Maximum Likelihood Fit of Matrix: How can I find the Covariance Matrix?

Published on 21 Jun 2019 - 16:43

score 905 · Answer 15 · 2019-06-25 00:30:02

905

Views

Efficiency of $\hat{\theta}_{MLE}$ from $\operatorname{Beta}(\theta,1)$

Published on 25 Jun 2019 - 0:30

List Question

Maximum-likelihood estimator of set of data from Normal Distributions

(partial) Likelihood function with survival

Verification of Sufficiency, Completeness, MLE, UMVUE, and Method of Moments for Estimators of a certain random sample.

Maximum Likelihood Estimation with Order Statistics' PDF

Scaled conjugate gradient for maximum likelihood estimation of covariance matrix hyperparameters

Likelihood for continuous sample

Proving that an efficient estimator is the maximum likelihood estimator

p-vector uniform distribution in ball and $X_i$ i.i.d exponential distribution ($\lambda$) with $ \theta = E\{ X_1 -t ∣ X_1 \gt t \}$

Finding MLE of $\theta$ where $f_X(x;\theta)=1 \space \text{ or} \space \frac{1}{2\sqrt{x}}$

MLE of Negative Binomial distributions of different sizes

Why must this ratio of these likelihood functions be less than $1$?

Optimization using Generalized Newton-Rhapson or Derivative Matching to Beta

Indicator of two exponential random variables

Maximum Likelihood Fit of Matrix: How can I find the Covariance Matrix?

Efficiency of $\hat{\theta}_{MLE}$ from $\operatorname{Beta}(\theta,1)$

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