Question

Covariance between estimated random effects $\hat{\boldsymbol{b}}$ and real idiosyncratic error vector $\boldsymbol{\epsilon}$ in a Linear Mixed Model

score 16 · Answer 1 · 2026-03-09 06:41:49

16

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Covariance between estimated random effects $\hat{\boldsymbol{b}}$ and real idiosyncratic error vector $\boldsymbol{\epsilon}$ in a Linear Mixed Model

Published on 09 Mar 2026 - 6:41

score 30 · Answer 2 · 2024-03-14 16:15:11

30

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Why does the poisson regression beta coefficient ML estimate have no closed form solution?

Published on 14 Mar 2024 - 16:15

score 42 · Answer 3 · 2024-03-17 21:59:47

42

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Is conditional expectation of the error of best linear predictor given $X$ is $0$ (Is it true that $y = a^+b^x + \eta$, where $E[\eta|x]=0$)?

Published on 17 Mar 2024 - 21:59

score 14 · Answer 4 · 2026-03-14 11:49:03

14

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Approaching regression analysis given all correlation is low

Published on 14 Mar 2026 - 11:49

score 55 · Answer 5 · 2024-03-29 03:44:40

55

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Is the expectation of the error of any projection of $\mathbb{E}[Y\mid X]$ onto subspace zero?

Published on 29 Mar 2024 - 3:44

score 428 · Answer 6 · 2015-01-05 07:04:02

428

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estimate coefficients of $y = \alpha x + \beta y + \gamma z + \epsilon$

Published on 05 Jan 2015 - 7:04

score 215 · Answer 7 · 2015-01-14 23:21:13

215

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Interpreting high p value and low correlation value

Published on 14 Jan 2015 - 23:21

score 530 · Answer 8 · 2015-02-18 07:59:41

530

Views

Independence of error terms in a regression model

Published on 18 Feb 2015 - 7:59

score 131 · Answer 9 · 2015-02-18 15:20:30

131

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rotating and exchanging x for y's in regression

Published on 18 Feb 2015 - 15:20

score 113 · Answer 10 · 2015-02-19 01:25:34

113

Views

Population versions of multiple correlation coefficients and least squares estimates

Published on 19 Feb 2015 - 1:25

score 54 · Answer 11 · 2015-03-07 07:50:07

54

Views

How to start using R (or free alternatives)?

Published on 07 Mar 2015 - 7:50

score 204 · Answer 12 · 2015-03-14 15:51:36

204

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Linear Regression and finding Correlation Coefficient

Published on 14 Mar 2015 - 15:51

score 142 · Answer 13 · 2015-03-14 23:29:42

142

Views

Determining an unknown Function

Published on 14 Mar 2015 - 23:29

score 100 · Answer 14 · 2015-03-26 18:51:28

100

Views

Classical Regression Model: Combining linearity and strict exogeneity

Published on 26 Mar 2015 - 18:51

score 7.9k · Answer 15 · 2015-03-27 05:31:35

7.9k

Views

How do I find Sxx in a Simple linear regression model?

Published on 27 Mar 2015 - 5:31

List Question

Covariance between estimated random effects $\hat{\boldsymbol{b}}$ and real idiosyncratic error vector $\boldsymbol{\epsilon}$ in a Linear Mixed Model

Why does the poisson regression beta coefficient ML estimate have no closed form solution?

Is conditional expectation of the error of best linear predictor given $X$ is $0$ (Is it true that $y = a^+b^x + \eta$, where $E[\eta|x]=0$)?

Approaching regression analysis given all correlation is low

Is the expectation of the error of any projection of $\mathbb{E}[Y\mid X]$ onto subspace zero?

estimate coefficients of $y = \alpha x + \beta y + \gamma z + \epsilon$

Interpreting high p value and low correlation value

Independence of error terms in a regression model

rotating and exchanging x for y's in regression

Population versions of multiple correlation coefficients and least squares estimates

How to start using R (or free alternatives)?

Linear Regression and finding Correlation Coefficient

Determining an unknown Function

Classical Regression Model: Combining linearity and strict exogeneity

How do I find Sxx in a Simple linear regression model?

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