2013
DOI: 10.1016/j.wpi.2012.12.009
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Optimization of prediction methods for patents and trademarks in Spain through the use of exogenous variables

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Cited by 10 publications
(4 citation statements)
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“…The years where there is a lower numbers of grants are relatively many more when compared to the years with higher numbers of patents. Several studies have shown that it is possible to model the series of patents with ARIMA [41][42][43][44]. Some satisfactory model adjustments can be required to decrease the model residuals.…”
Section: Methods and The Case Studymentioning
confidence: 99%
“…The years where there is a lower numbers of grants are relatively many more when compared to the years with higher numbers of patents. Several studies have shown that it is possible to model the series of patents with ARIMA [41][42][43][44]. Some satisfactory model adjustments can be required to decrease the model residuals.…”
Section: Methods and The Case Studymentioning
confidence: 99%
“…It has been conducted to evaluate different methods for predicting national patent and trademark applications in the short and medium term for resource planning at the Spanish Patent and Trademark Office and other patent offices, including exogenous variables and predictors. Several advanced prediction models' performances were compared in the analysis, including an ARIMA model with automatic estimation of coefficients, a Simple econometric model with a predictive lag variable, a Polynomial Distributed Lag model, and an Intelligent Transfer Function (Hidalgo and Gabaly, 2013). Patent data was utilized to study Persian lime's technological life cycle trajectory and present status (Martínez-Ardila et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Trademarks are often used to analyze commercial business competences of countries. A trademark is a sign capable of distinguishing the goods or services of one enterprise from those of other enter prises (Mendonca et al 2004, Hidalgo andGabaly 2013). Patents and trademarks are also used as barriers to entry in markets (see e.g.…”
Section: Introductionmentioning
confidence: 99%