Regression methods in the presence of heteroscedasticity and outliers
Last updated 10th May 2018
CURATOR
I am A research Assistant at the Laboratory for interdisciplinary Statistical Analysis (LISA), Department of Statistics, University of Ibadan, Nigeria.
PINBOARD SUMMARY
This study identifies outliers under heteroscedastic errors and the performance of four methods.
It has been observed over the years that real life data are usually non-conforming to the classical linear regression assumptions. One of the stringent assumptions that is unlikely to hold in many ...
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