|
- heteroscedasticity - What does having constant variance in a linear . . .
@gung in your comment you put italics on all the words in the phrase minimum variance unbiased estimator I understand that with heteroscedasticity the estimator will become less efficient (more variance), but will it become biased too?
- regression - Understanding the causes and implication of . . .
I’m trying to heteroskedasticity and how, even if we don’t have MLR 5 assumption (heteroskedasticity), we can still have unbiased estimates I was thinking: a very intuitive cause of a growing vari
- heteroscedasticity - Practically speaking, how do people handle ANOVA . . .
This isn't a strictly stats question--I can read all the textbooks about ANOVA assumptions--I'm trying to figure out how actual working analysts handle data that doesn't quite meet the assumptions
- r - Best way to deal with heteroscedasticity? - Cross Validated
I list a number of methods of dealing with heteroscedasticity (with R examples) here: Many of those recommendations would be less ideal because you have a single continuous variable, rather than a multi-level categorical variable, but it might be nice to read through as an overview anyway
- heteroscedasticity - What are the consequences of having non-constant . . .
One of the assumptions of linear regression is that there should be a constant variance in the error terms and that the confidence intervals and hypothesis tests
- Heteroskedasticity - residual plot interpretation - Cross Validated
Concerning heteroscedasticity, you are interested in understanding how the vertical spread of the points varies with the fitted values To do this, you must slice the plot into thin vertical sections, find the central elevation (y-value) in each section, evaluate the spread around that central value, then connect everything up
- Advice on explaining heterogeneity heteroscedasticty
9 I am looking for any help, advice or tips in how to explain heterogeneity heteroscedasticity to biologists in my department In particular I want to explain why its important to look for it and deal with it if it exists, I was looking for opinions on the following questions Does heterogeneity influence the reliability of random effect
- heteroskedasticity and logistic regression - Cross Validated
I have cross sectional data and am using logistic regression My question is how do I check my data for heteroskedasticity and in case it is present, then how to deal with it in Stata I have come
|
|
|