02522nam a2200385 4500 20260818114249.0 270898 th eng .b10290631 AIT Thesis no. CA-83-25 Twu, Chung-tung Forecasting the monthly discharge of the Mekong River Bangkok : Asian Institute of Technology, 1983 viii, 86 p. Thesis ; no. CA-83-25 A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Engineering and Technology Thesis (M.Sc.) - Asian Institute of Technology, 1983 In this study, three different statistical methods are applied to forecast the monthly discharge of the MEKONG RIVER at five stations using only the discharge data. The Box-Jenkins model was used directly to forecast the monthly discharge using its own time series. Moreover, the Multiple Regression (MRG) and the Group Method of Data Handling (GMDH) are also employed to forecast the monthly discharge using additional information, such as the maximum and minimum daily values and the discharges of the last day in previous months. The results obtained show that all the three methods perform satisfactorily in providing forecasts with leas time equal to one month. The Box-Jenkins and Multiple Regression Analysis can be used to provide forecasts with long lead time, even though less accurate results are observed. Stream measurements Mekong River Huynh, Ngoc Phien, Chairperson Kanchit Malaivongs, Examination Committee Le Huu Ti, Examination Committee The Government of Germany, Carl Duisberg-Gesellschaft e. V. (CDG), Scholarship Donor Asian Institute of Technology. Thesis ; no. CA-83-25 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B20964 .b10290631 mnait x 240719 2 951012 m a x 0 mnait mnarc 22 40 Barcode : 30050120085369 CREATED : 2013-11-20 RECORD # : i12747282 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050160064704 CREATED : 2016-03-06 RECORD # : i13016519 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 46477 46477 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no. CA-83-25 30050120085369 2026-08-18 11:42:49 3 2026-08-18 22 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no. CA-83-25 30050160064704 2026-08-18 11:42:49 2026-08-18 40