Can I read Heteroscedasticity Detection Tests in R on EtoBox?
Heteroscedasticity Detection Tests in R by Resma Mutiara is a document available to read on EtoBox.
What is Heteroscedasticity Detection Tests in R about?
The document compares five tests for detecting heteroscedasticity in datasets: Park test, Glejser test, Breusch-Pagan test, White test, and Goldfeld test, using simulated datasets of varying sizes and levels of heteroscedasticity. The study finds that the Glejser test is the most effective in detecting heteroscedasticity, while the Goldfeld test has the least power. The analysis was conducted using the R statistical package, and the results highlight the importance of model specification and the identificat
- Author
- Resma Mutiara
- Language
- EN