heteroscedasticity - What does having "constant variance" in a …
What does having "constant variance" in the error term mean? As I see it, we have a data with one dependent variable and one independent variable. Constant variance ...
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 …
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 …
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: Alternatives to one-way ANOVA for heteroskedastic data. Many of those …
How can I choose between homoscedastic and heteroscedastic?
Aug 1, 2022 · You'll need to complete a few actions and gain 15 reputation points before being able to upvote. Upvoting indicates when questions and answers are useful. What's reputation …
time series - Conceptual distinction between heteroscedasticity …
Nov 12, 2017 · I'm having trouble distinguishing between the concepts of scedasticity and stationarity. As I understand them, heteroscedasticity is differing variabilities in sub …
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 …
heteroscedasticity - What are the consequences of having non …
Oct 17, 2016 · 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 ...
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 …
heteroscedasticity - How do you find weights for weighted least …
The predicted value of this function is used for the weight associated with that point. Getting your weights from the residuals of an OLS regression is reasonable because OLS is unbiased, …