TY  - JOUR
T1  - Technology Forecasting Using Frequency Time Series Model: Bio-Technology Patent Analysis
AU - Jun, Sunghae AU - Uhm, Daiho 
JO  - Journal of Modern Mathematics and Statistics
VL  - 4
IS  - 3
SP  - 101
EP  - 104
PY  - 2010
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2010.101.104
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2010.101.104
KW  - Technology forecasting
KW  -frequency time series
KW  -patent analysis
KW  -poisson regression
KW  -linear regression
KW  -USA
AB  - Most of technology forecasting has been depended on the knowledge and experience of experts. It has caused many problems like inaccuracy as well as waste of time and cost. So, we need more objective and accuracy methods for technology forecasting. Recently, many researches of technology forecasting have been published. They were analyzed methods of patent data. In this study, the researchers propose a technology forecasting model using frequent time series analysis in bio-technology domain. The experimental data are patents of bio-technology. The researchers verify improved performance of frequent time series model in the experimental results.
ER  -