A Comparison of Statistical Prediction Models in Household Water End-Uses Myoung, Sung-Min; Lee, Doo-Jin; Kim, Hwa-Soo; Jo, Jin-Nam;
This study develops a predictive model for household water end-uses based on data that have measured household characteristics, housing characteristics and other items, surveyed over 3 years in Korea. However, the measured data was left-skewed and it was not fitted to normal distribution. The parameter estimate were biased when using a multiple regression model. In addition, the results of the testing for the model were usually of significance due to the tiny residual from a large number of observations. In order to solve the problem, we suggested log-normal regression model and Weibull regression model as alternatives. The results of this study can be utilized in the planning stages of water and waste water facilities.
Log-normal regression;Weibull regression;prediction model;water use pattern;