Use of prediction methods for patent and trademark applications in Spain

Hidalgo Nuchera, Antonio y 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.

Descripción

Título: Use of prediction methods for patent and trademark applications in Spain
Autor/es:
  • Hidalgo Nuchera, Antonio
  • Gabaly Marquez, Samuel
Tipo de Documento: Artículo
Título de Revista/Publicación: World Patent Information
Fecha: Marzo 2012
Volumen: 34
Materias:
Palabras Clave Informales: Patent time series; Trademark time series; Prediction; ARIMA; Regression models of trends; Advanced time series models
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 15704
Identificador DC: http://oa.upm.es/15704/
Identificador OAI: oai:oa.upm.es:15704
Identificador DOI: 10.1016/j.wpi.2011.09.001
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0172219011001426
Depositado por: Memoria Investigacion
Depositado el: 17 Dic 2013 18:10
Ultima Modificación: 21 Abr 2016 15:58
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