Critical Study of Multiple Regressions Modelling for Monitoring of Haloacetic Acids in Water Reservoirs

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Critical Study of Multiple Regressions Modelling for Monitoring of Haloacetic Acids in Water Reservoirs

Cited by 3 publications

References 15 publications

Models for predicting carbonaceous disinfection by-products formation in drinking water treatment plants: a case study of South Korea

Models for predicting carbonaceous disinfection by-products formation in drinking water treatment plants: a case study of South Korea

Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system

A selection procedure using Bootstrap algorithm for multiple regression models

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