Premium
Organization and Statistical Analysis of Water‐Consumption Data at the Local Level
Author(s) -
Yamauchi Hiroshi,
Huang Wenyuan
Publication year - 1977
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.1977.tb02539.x
Subject(s) - water consumption , statistical analysis , regression analysis , consumption (sociology) , computer science , water resources , data analysis , trend analysis , data science , water resource management , data mining , statistics , environmental science , machine learning , mathematics , ecology , social science , sociology , biology
A better understanding of the empirical nature of water demand has become an important prerequisite for further improvements in planning and management of urban water resources. The development and analysis of data are explored with emphasis on Computer analysis through multiple regression techniques.