Question

Estimate $m$ using method of maximum likelihood.

score 196 · Answer 1 · 2026-03-29 11:51:51

196

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Estimate $m$ using method of maximum likelihood.

Published on 29 Mar 2026 - 11:51

score 498 · Answer 2 · 2015-12-20 10:29:51

498

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Lost in terminology: What is the meaning of the words "Constraint" and "Parameter" in a goodness of fit?

Published on 20 Dec 2015 - 10:29

score 639 · Answer 3 · 2026-02-25 02:56:10

639

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Confidence interval of the parameter of $\exp$ and normal distribution from MLE?

Published on 25 Feb 2026 - 2:56

score 121 · Answer 4 · 2016-01-10 05:25:18

121

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Finding Probability Distribution Parameters Satisfying a Particular Condition

Published on 10 Jan 2016 - 5:25

score 2.4k · Answer 5 · 2016-01-11 02:32:38

2.4k

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Clarify theta parameter in statistical modeling for probability distributions

Published on 11 Jan 2016 - 2:32

score 276 · Answer 6 · 2016-01-13 04:29:39

276

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Let $(X_1 ,Y_1),(X_2 ,Y_2),...,(X_n ,Y_n)$ be a sample from the uniform distribution on a disc $X^2 + Y^2 \leq \theta$, where $\theta$ is unknown.

Published on 13 Jan 2016 - 4:29

score 46 · Answer 7 · 2016-01-16 15:32:12

46

Views

Parameter Bias of an OLS Estimation

Published on 16 Jan 2016 - 15:32

score 226 · Answer 8 · 2016-01-20 18:17:13

226

Views

Partial derivatives of a function with conditions dependent on parameters

Published on 20 Jan 2016 - 18:17

score 43 · Answer 9 · 2026-03-29 11:42:35

43

Views

calculation of the maximum likelihood estimator

Published on 29 Mar 2026 - 11:42

score 112 · Answer 10 · 2016-01-22 11:38:22

112

Views

What is the requirement for separable parameters in an LSQ fit?

Published on 22 Jan 2016 - 11:38

score 654 · Answer 11 · 2016-01-22 17:10:11

654

Views

Is "non-random parameter estimation" the same thing as maximum likelihood estimation?

Published on 22 Jan 2016 - 17:10

score 352 · Answer 12 · 2016-02-05 16:20:08

352

Views

If $X\sim\operatorname{Poisson}(u)$ and $\theta = \mathbb{P}\{X=0\} = e^{-u}$, is $\hat{\theta}_1 = e^{-X}$ an unbiased estimator?

Published on 05 Feb 2016 - 16:20

score 79 · Answer 13 · 2016-02-09 13:59:36

79

Views

Show that $\hat{\mu}$ has minimal variance

Published on 09 Feb 2016 - 13:59

score 139 · Answer 14 · 2016-02-09 23:39:55

139

Views

IMPROVED - Proving that a statistics is not sufficient (Gaussian case).

Published on 09 Feb 2016 - 23:39

score 2.7k · Answer 15 · 2016-02-10 14:54:28

2.7k

Views

Proving that a statistic is not sufficient (uniform case).

Published on 10 Feb 2016 - 14:54

List Question

Estimate $m$ using method of maximum likelihood.

Lost in terminology: What is the meaning of the words "Constraint" and "Parameter" in a goodness of fit?

Confidence interval of the parameter of $\exp$ and normal distribution from MLE?

Finding Probability Distribution Parameters Satisfying a Particular Condition

Clarify theta parameter in statistical modeling for probability distributions

Let $(X_1 ,Y_1),(X_2 ,Y_2),...,(X_n ,Y_n)$ be a sample from the uniform distribution on a disc $X^2 + Y^2 \leq \theta$, where $\theta$ is unknown.

Parameter Bias of an OLS Estimation

Partial derivatives of a function with conditions dependent on parameters

calculation of the maximum likelihood estimator

What is the requirement for separable parameters in an LSQ fit?

Is "non-random parameter estimation" the same thing as maximum likelihood estimation?

If $X\sim\operatorname{Poisson}(u)$ and $\theta = \mathbb{P}\{X=0\} = e^{-u}$, is $\hat{\theta}_1 = e^{-X}$ an unbiased estimator?

Show that $\hat{\mu}$ has minimal variance

IMPROVED - Proving that a statistics is not sufficient (Gaussian case).

Proving that a statistic is not sufficient (uniform case).

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