02514nam a2200397 4500 20260818114241.0 310398 th eng .b10290357 AIT Thesis no. 1373 Chang, Tsai Li Forecasting based on time series using different smoothing techniques Bangkok : Asian Institute of Technology, 1978 64 p. Thesis ; no. 1373 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science of the Asian Institute of Technology, Bangkok, Thailand Thesis (M.Sc.) - Asian Institute of Technology, 1978 One common way of modeling a time series is to find a transformation that reduces the observed data to random noise. Earlier procedures for technological forecasting based on time series data were of a some what ad-hoc nature, though theoretical justifications for their use were generally available. This study attempts to introduce a more powerful tool in technological forecasting based on time series by using Box-Jenkins approach, which is a newly developed technique. The basic concept and mathematical models of moving averages, exponential smoothing, and Box-Jenkins methodology are outlined and illustrated by their application to three time series concerned with technological forecasting. Comparison is then made by use of sum of squares of lead- 3 forecast error. Time-series analysis Technological forecasting Sharif, M. N., Chairperson Pakorn Adulbhan, Examination Committee Techapun Raengkhum, Examination Committee The Government of Republic of China, Scholarship Donor Asian Institute of Technology. Thesis ; no. 1373 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B22945 .b10290357 mnait x 251029 2 951012 m a x 0 mnait mnarc 20 40 Barcode : 30050004430558 CREATED : 1994-05-17 RECORD # : i10359151 LPATRON : 1010894 LCHKIN : 1998-02-14 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 0 Barcode : 30050160082003 CREATED : 2016-05-13 RECORD # : i12977640 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 46436 46436 0 0 0 0 MAIN MAIN mnait 2026-08-18 0 AIT Thesis no. 1373 30050004430558 2026-08-18 11:42:41 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no. 1373 30050160082003 2026-08-18 11:42:41 2026-08-18 40