%0 Journal Article
%T Choice of Appropriate Power Transformation of Skewed Distribution for Quantile Regression Model
%A Nwabueze J.C
%A Nwakuya M.T
%A Onyegbuchulem B.O.
%A Otu Archibong Otu
%J American Journal of Applied Mathematics and Statistics
%D 2019
%R 10.12691/ajams-7-3-4
%X Quantile Regression (QR) performed better than Ordinary Least Square (OLS) when the Data is skewed. Its best result can be achieved when the Data is transformed. Quantreg package of R software was used to illustrate the various power transformation fitness for quantile regression model. The analysis shows that the best result was obtained from the square root of y transformation with an average error term of 0.9539, -0.0494, 0.0238, -0.5309 and -0.7544 for 10th, 25th, 50th, 75th and 90th quantile respectively. From the results obtained, it shows that model transformation can greatly improve the result of quantile regression model
%U http://www.sciepub.com/AJAMS/abstract/10440