regression - Understanding the causes and implication of ...
Nov 30, 2020 · 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 …
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 …
Addressing Heteroscedasticity in Mixed Effects Models with glmmTMB …
Apr 15, 2024 · Addressing Heteroscedasticity in Mixed Effects Models with glmmTMB and DHARMa in R Ask Question Asked 1 year, 10 months ago Modified 1 year, 9 months ago
Heteroscedasticity in linear mixed effects models (lmer)
Mar 19, 2024 · Heteroscedasticity in linear mixed effects models (lmer) Ask Question Asked 1 year, 11 months ago Modified 1 year, 11 months ago
heteroscedasticity - Practically speaking, how do people handle …
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
Apr 19, 2015 · 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, …
How to handle heteroscedasticity in a mixed-effects model?
May 23, 2025 · My question: Would a log transformation of the dependent variable (Y) be appropriate to address the heteroscedasticity, or could this issue be handled using bootstrapped standard errors …
Is there any difference between heteroscedasticity and …
May 4, 2019 · These terms confuse me. Some experts think that these terms have a contrasting meaning which is incorrect. Is there someone who can justify the interpretation.
terminology - Why are there two spellings of "heteroskedastic" or ...
May 22, 2015 · I frequently see both the spellings "heteroskedastic" and "heteroscedastic", and similarly for "homoscedastic" and "homoskedastic". There seems to be no difference in meaning between the …
heteroskedasticity and logistic regression - Cross Validated
Jan 1, 2021 · Heteroscedasticity is to linear regression what scale effects are to logit models. Like in the linear regression case, it depends on what predictors and functional forms go into the regular formula …