TY  - BOOK
AU  - Chang,Tsai Li
AU  - Sharif,M.N.
AU  -  Pakorn  Adulbhan, 
AU  - Techapun Raengkhum, 
ED  - The Government of Republic of China, 
TI  - Forecasting based on time series using different smoothing techniques
T2  - Thesis
PY  - 1978///
CY  - Bangkok
PB  - Asian Institute of Technology
KW  - Time-series analysis
KW  - Technological forecasting
N1  - 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
N2  - 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B22945
ER  -