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035			_a.b10261230
100	0		_aBui Khanh Huong
245	1	0	_aEvaluation of regression methods in flow forecasting
260			_aBangkok : _bAsian Institute of Technology, _c1988
300			_a66 p.
490	1		_aThesis ; _vno. CS-88-4
500			_aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Engineering and Technology
502			_aThesis (M.Sc.) - Asian Institute of Technology, 1988
520			_aIn this thesis a system is developed for daily flow forecasting consisting o f five regression methods: - The Least Squares Method, - The Ridge Regression , - The Principal Component Regression, - The Stepwise Regression, a nd - The regression with minimum s um of absolute errors. The system was used to evaluate the performances of the regression techniques and of the following models: - The - The - The - The model involving discharge, rainfall and evaporation, mode l using only discharge and rainfall, Linear Perturbation Mode l, a nd Extended Linear Perturbation Model. From applications to data on two catchment areas , in Laos and Th ail and , it was found that: - The performances of the least squares method, the stepwise regression and the regression with minimum sum of absolute errors are almost the same. But the regression with mini mum sum of absolute errors requires mu c h more executing time. - The performance of the ridge regression is not as good as that of the least squares method in the case of nonsingular matrix . The ridge regression is recommended for use only when the least squares method cannot give the results because of the multicollinearity present among the predictor variables. - The performance of the principal component regression is a l so not as good as that of the least squares method. - The performances of the model involving discharge, rainfall and evaporation , the model using only discharge and rain fall, and the Extended Linear Perturbation Model are almost t he same. - The performance of the model using only discharge and rainfall is better than that of the Linear Perturbation Model.
650		0	_aHydraulics _xMathematical models
700	1		_aHuynh, Ngoc Phien, _eChairperson
700	1		_aBogardi, Janos J., _eExamination Committee
700	1		_aGonzales, Jr. R. L., _eExamination Committee
710	2		_aJapanese Government, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. CS-88-4
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B18762
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