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Improvement and Evaluation of Estimation of Time Series Data of Daily Life
2017
International Journal of Networked and Distributed Computing (IJNDC)
This paper improves the estimation of the amounts of sewage flow, which is one of daily life data, in order to manage them efficiently. The amounts of flow of a typical day are tried to be adjusted to those of a non-regular day. A typical (non-regular, respectively) day is a non-rainy day having good data and no (a few) outliers. The values for the adjustment are tried to be estimated by using the multiple regression analysis. It is shown that the estimation can be improved, and these values
doi:10.2991/ijndc.2017.5.4.5
fatcat:acqlzpgbkjamrda2ebipbvrpui