18 апр. 2015 г. · Use robust linear fitting using the rlm() function of the MASS package because it's apparently robust to heteroscedasticity.

18 мая 2021 г. · If you have heteroscedasticity, you can get improved predictions by weighting. Specifically, in pockets where the variance is small, you can ...

29 февр. 2012 г. · Using the log transformation can be a good approach to correct for heteroskedasticity, but only if all your values are positive and the new ...

27 июн. 2023 г. · One solution to this would be transformation, when I log transform the dependent variable I get equal variances (homoscedacity) but instead my ...

4 июн. 2020 г. · Heteroscedacity can be caused by "missing" variables in the model. You clearly know the genre of the film, does adding this into the model help?

19 апр. 2019 г. · I am trying to fit a mixed model (person as random effect) on data which has heteroscedasticity and non-normality.

9 мар. 2017 г. · Heteroscedasticity does not bias linear models unless the model is misspecified. It leads to possibly incorrect calculation of standard errors.

1 окт. 2014 г. · The most simple check whether heteroskedasticity is corrected is to see if the residuals of your model are normal. My advice is to always use ...

1 мая 2019 г. · I introduced an interaction term between rating and treatment. My question is: Is this a sensible approach or are there any arguments against introducing such ...

25 февр. 2024 г. · How to deal with Heteroskedasticity in a GAM model · 1. Try family beta-binomial; glmmTMB(...,family = betabinomial). · Thank you for the ...