Chang, Tsai Li creator Sharif, M. N. Chairperson Pakorn Adulbhan Examination Committee Techapun Raengkhum Examination Committee The Government of Republic of China Scholarship Donor text th Bangkok Asian Institute of Technology 1978 monographic eng

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64 p. 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. 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 Time-series analysis Technological forecasting Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B22945 http://203.159.5.9/ait-thesis/detail.php?q=B22945 310398 20260818114241.0