All Questions
7
questions
4
votes
1
answer
4k
views
Calculating confidence intervals for the variance of the residuals in R
I have three variables:
Number of house sales
Month (in couples)
Region of a city (N-W-E-S)
and I want to calculate confidence intervals for the residual of the errors. So, given the data:
...
- 173
2
votes
1
answer
2k
views
How to calculate the standard deviation of a sample and its 95% CI if I know the variance and its 95% CI?
I apologize if my question is extremely simple, but you know my name.
I have only the variance of a sample and its 95% confidence intervals, nothing more, nothing less.
Please correct me if I am ...
4
votes
1
answer
2k
views
How can I obtain the 95% confidence interval for the variance of a random effect?
After running a linear mixed model, I want to obtain the 95% confidence interval for the variance estimation of my random effect. The function confint() in R gives ...
- 315
0
votes
0
answers
165
views
Create a simulation study using R to compare the accuracy (95% capture rate) and the lengths of the Chi-Squared confidence intervals
The minimum length confidence bounds for a normal population variance for chi-squared distribution is
Are they right?
GOAL: Create a simulation study using R to compare the accuracy (95% capture ...
- 207
3
votes
2
answers
8k
views
Computing confidence intervals for population variance from a sample in R
Is there a package available for R (on CRAN, github, r-forge, etc.) that computes CIs for the population variance, given a sample of data, 95% CI parameter, etc.?
The ...
- 143
2
votes
1
answer
471
views
Bootstrap confidence intervals for partitioned variances in R
I'm trying to determine the variance partitioning within plant drought tolerance data among hierarchical ecological levels, from species to forest sites to biome levels. I did that with the varcomp ...
- 43
7
votes
2
answers
2k
views
Using bootstrap for glm coefficients variance estimation (in R)
I am fitting a GLM model (in R), and would like to get an estimation of the variability of the coefficients estimated by the model.
If I understand it correctly the method to use in such a case is ...
- 21.8k