Water Quality Data Analysis in Chung Kang River
- 1 February 1987
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Environmental Engineering
- Vol. 113 (1), 186-195
- https://doi.org/10.1061/(asce)0733-9372(1987)113:1(186)
Abstract
Box‐Jenkins time series analysis for the monthly water quality data in Chung Kang River was conducted. It was found that the autoregressive models with order one could be used, and forecasting with seasonal data seems to perform well when the Box‐Jenkins technique is combined with nonparametric transformation. Further, the three‐model structure selection criteria used in the analysis has very good consistency in selecting the best model.Keywords
This publication has 13 references indexed in Scilit:
- An algorithm for the exact likelihood of a mixed autoregressive-moving average processBiometrika, 1979
- On a measure of lack of fit in time series modelsBiometrika, 1978
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978
- TIME SERIES ANALYSIS AND CONTROL THROUGH PARAMETRIC MODELSPublished by Elsevier ,1978
- A Bayesian comparison of different classes of dynamic models using empirical dataIEEE Transactions on Automatic Control, 1977
- Advances in Box‐Jenkins modeling: 1. Model constructionWater Resources Research, 1977
- On the Order Determination of ARIMA ModelsJournal of the Royal Statistical Society Series C: Applied Statistics, 1977
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974
- Stochastic modeling of temperature and flow in riversWater Resources Research, 1972
- Application of Linear Random Models to Four Annual Streamflow SeriesWater Resources Research, 1970