DETRACTION THE IMPACT OF ABNORMAL VALUES ON PREDICT OF DEPENDENT VARIABLES USING CONDITIONAL QUANTILE REGRESSION
DETRACTION THE IMPACT OF ABNORMAL VALUES ON PREDICT OF DEPENDENT VARIABLES USING CONDITIONAL QUANTILE REGRESSION

Summary/Abstract: This paper summarizes how to downplay the impact of anomalous values of the dependent variables estimated through the function of inverse standard normal cumulative distribution known median regression or conditional quantile regression using real deviation of error, instead of applying the square errors were the squareness errors sometimes lead to high values which affecting on the response variable predict.

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