User Sergio

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Is there a discrete distribution I can use for sampling in R?

answered Aug 10, 2020 at 6:01

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Scoring a ranking question

answered Jul 19, 2020 at 14:30

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difference between correlation and coefficient in a regression

answered Aug 21, 2020 at 8:55

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Why does pre-summing variables lead to a different OLS fit?

answered Sep 11, 2020 at 20:27

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Is the conditional (chain rule) of probability interchangeable?

answered Sep 10, 2020 at 22:48

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Unintuitive result: Multiple Linear Regression coefficients

answered Sep 12, 2020 at 0:32

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How to derive the covariance matrix between $\bar{y}$ and $\hat{\beta_c}$ where $\hat{\beta_c}$ is the OLS estimator of a linear model?

answered Sep 13, 2020 at 16:22

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Example 2.2.2 fromAn Introduction to Generalized Linear Models. Show $Y_{j k}, \bar{Y}_{j}, \hat{\beta}_{j} $ are all independent

answered Sep 13, 2020 at 22:46

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How to show $\rho(\beta_0, \beta_1) \leq 0$?

answered Sep 24, 2020 at 20:45

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Is Least Squares estimator for linear model the unique minimum variance unbiased estimator for a linear model?

answered Jan 25, 2021 at 15:16

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Question about random sample vs support

answered Apr 3, 2021 at 22:08

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Question about estimating the standard error of the regression- notation and intuition

answered Sep 7, 2020 at 21:37

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Can't Follow the Algebra in a Estimator MSE Comparison

answered Sep 6, 2020 at 15:41

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Can I use an exogenous variable from my model as an instrumental variable?

answered Sep 5, 2020 at 16:23

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I know how to discover the 95% confidence interval, but not 99%

answered Sep 4, 2020 at 9:26

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Data normalization by using mean and standard deviation - Strange example

answered Aug 29, 2020 at 9:08

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How to select predictors in regression using backward method?

answered May 19, 2014 at 22:25

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Conceptual questions on Estimation theory: Beginner level

answered May 20, 2014 at 7:51

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Probability density function of the sample maximum of a random variable

answered May 17, 2014 at 17:34

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Does correlation imply a (relatively) constant difference or ratio between the two variables?

answered May 14, 2014 at 21:43

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"Bayesian and Frequentist Regression Methods" by Jon Wakefield, a good introductory Bayesian textbook for frequentist economics graduates?

answered May 4, 2014 at 20:56

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Non-binomial posteriors for a binomial prior?

answered May 8, 2014 at 10:31

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What does the regression model look like if the predictors are categorical?

answered May 8, 2014 at 12:28

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Interraction in Poisson regression

answered May 10, 2014 at 20:02

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Way of measuring students' performance

answered May 11, 2014 at 21:32

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How to compute the t-ratio at 0.05 significance level?

answered May 12, 2014 at 8:51

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r, How to create two correlated variables that are distributed jointly normal (mean 0, var 1)

answered May 11, 2014 at 9:15

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Interpreting of difference between R lm() with intercept and without it?

answered May 29, 2014 at 11:26

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Books to refer enhancing my knowledge in statistics

answered Jun 11, 2014 at 10:35

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Interpreting the mathematical formula of a mixed effect model

answered Jun 21, 2014 at 17:50

Stack Exchange Network

146 Answers

Is there a discrete distribution I can use for sampling in R?

Scoring a ranking question

difference between correlation and coefficient in a regression

Why does pre-summing variables lead to a different OLS fit?

Is the conditional (chain rule) of probability interchangeable?

Unintuitive result: Multiple Linear Regression coefficients

How to derive the covariance matrix between $\bar{y}$ and $\hat{\beta_c}$ where $\hat{\beta_c}$ is the OLS estimator of a linear model?

Example 2.2.2 fromAn Introduction to Generalized Linear Models. Show $Y_{j k}, \bar{Y}_{j}, \hat{\beta}_{j} $ are all independent

How to show $\rho(\beta_0, \beta_1) \leq 0$?

Is Least Squares estimator for linear model the unique minimum variance unbiased estimator for a linear model?

Question about random sample vs support

Question about estimating the standard error of the regression- notation and intuition

Can't Follow the Algebra in a Estimator MSE Comparison

Can I use an exogenous variable from my model as an instrumental variable?

I know how to discover the 95% confidence interval, but not 99%

Data normalization by using mean and standard deviation - Strange example

How to select predictors in regression using backward method?

Conceptual questions on Estimation theory: Beginner level

Probability density function of the sample maximum of a random variable

Does correlation imply a (relatively) constant difference or ratio between the two variables?

"Bayesian and Frequentist Regression Methods" by Jon Wakefield, a good introductory Bayesian textbook for frequentist economics graduates?

Non-binomial posteriors for a binomial prior?

What does the regression model look like if the predictors are categorical?

Interraction in Poisson regression

Way of measuring students' performance

How to compute the t-ratio at 0.05 significance level?

r, How to create two correlated variables that are distributed jointly normal (mean 0, var 1)

Interpreting of difference between R lm() with intercept and without it?

Books to refer enhancing my knowledge in statistics

Interpreting the mathematical formula of a mixed effect model