کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
38136 45650 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of prediction methods for patent and trademark applications in Spain
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Use of prediction methods for patent and trademark applications in Spain
چکیده انگلیسی

Patent and trademark offices which run according to principles of new management have an inherent need for dependable forecasting data in planning capacity and service levels. The ability of the Spanish Office of Patents and Trademarks to carry out efficient planning of its resource needs requires the use of methods which allow it to predict the changes in the number of patent and trademark applications at different time horizons. The approach for the prediction of time series of Spanish patents and trademarks applications (1979–2009) was based on the use of different techniques of time series prediction in a short-term horizon. The methods used can be grouped into two specifics areas: regression models of trends and time series models. The results of this study show that it is possible to model the series of patents and trademarks applications with different models, especially ARIMA, with satisfactory model adjustment and relatively low error.


► Research on trends in numbers of patent and trademark applications in Spain.
► Technique (1) based on time series prediction in a short-term horizon.
► Technique (2) based on regression models of trends.
► Concludes that these techniques are helpful, with relatively low error.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: World Patent Information - Volume 34, Issue 1, March 2012, Pages 19–29
نویسندگان
, ,