Regression methods in the presence of heteroscedasticity and outliers

Last updated 10th May 2018
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A pinboard by TAYO OGUNDUNMADE

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 ...