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http://dx.doi.org/10.5351/KJAS.2011.24.4.567

A Comparison of Statistical Prediction Models in Household Water End-Uses  

Myoung, Sung-Min (Faculty of Health Science, Jungwon University)
Lee, Doo-Jin (Korea Institute of Water and Environment)
Kim, Hwa-Soo (Dohwa Engineering Co.)
Jo, Jin-Nam (Department of Information and Statistics, Dongduk Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.4, 2011 , pp. 567-573 More about this Journal
Abstract
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.
Keywords
Log-normal regression; Weibull regression; prediction model; water use pattern;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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