Use of prediction methods for patent and trademark applications in Spain

Hidalgo Nuchera, Antonio and Gabaly Marquez, Samuel (2012). Use of prediction methods for patent and trademark applications in Spain. "World Patent Information", v. 34 (n. 1); pp. 19-29. ISSN 0172-2190. https://doi.org/10.1016/j.wpi.2011.09.001.

Description

Title: Use of prediction methods for patent and trademark applications in Spain
Author/s:
  • Hidalgo Nuchera, Antonio
  • Gabaly Marquez, Samuel
Item Type: Article
Título de Revista/Publicación: World Patent Information
Date: March 2012
ISSN: 0172-2190
Volume: 34
Subjects:
Freetext Keywords: Patent time series; Trademark time series; Prediction; ARIMA; Regression models of trends; Advanced time series models
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 (1979e2009) 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.

More information

Item ID: 15704
DC Identifier: http://oa.upm.es/15704/
OAI Identifier: oai:oa.upm.es:15704
DOI: 10.1016/j.wpi.2011.09.001
Official URL: http://www.sciencedirect.com/science/article/pii/S0172219011001426
Deposited by: Memoria Investigacion
Deposited on: 17 Dec 2013 18:10
Last Modified: 21 Apr 2016 15:58
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