Chang, Tsai Li <br/><br/>
Forecasting based on time series using different smoothing techniques 

 - Bangkok :  Asian Institute of Technology,  1978 
 - 64 p. 
 - Thesis ;  no. 1373 .
 - Asian Institute of Technology.  Thesis ;  no. 1373 .
<br/><br/> A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science of the Asian Institute of Technology, Bangkok, Thailand 
<br/><br/>Thesis (M.Sc.) - Asian Institute of Technology, 1978 
<br/><br/> 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. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Time-series analysis<br/>Technological forecasting