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A Comparison of Statistical Prediction Models in Household Water End-Uses
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 Title & Authors
A Comparison of Statistical Prediction Models in Household Water End-Uses
Myoung, Sung-Min; Lee, Doo-Jin; Kim, Hwa-Soo; Jo, Jin-Nam;
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 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;
 Language
Korean
 Cited by
1.
변기 및 세탁기 가정용수 사용량의 시계열모형 연구,명성민;김동건;이두진;김화수;조진남;

Journal of the Korean Data and Information Science Society, 2013. vol.24. 6, pp.1141-1148 crossref(new window)
2.
시계열 회귀모형에 기초한 욕실 내 용수 사용량 추정,명성민;김동건;조진남;

한국컴퓨터정보학회논문지, 2014. vol.19. 8, pp.19-26 crossref(new window)
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Estimating Bathroom Water-uses based on Time Series Regression, Journal of the Korea Society of Computer and Information, 2014, 19, 8, 19  crossref(new windwow)
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An analysis of time series models for toilet and laundry water-uses, Journal of the Korean Data and Information Science Society, 2013, 24, 6, 1141  crossref(new windwow)
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