Forecasting Innovations Methods for Predicting Numbers of Patent Filings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Hingley, Peter (Editor), Nicolas, Marc (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Subjects: Management.; Industrial management.; Business mathematics.; Statistics.; Econometrics.; Economic policy.; Economics.; Business Mathematics.; Innovation/Technology Management.; Statistics for Business/Economics/Mathematical Finance/Insurance.; R & D/Technology Policy.

This is a practical guide to solutions for a case study of forecasting demand for services and products in international markets - and so much more than just another listing of dry theoretical methods. Leading experts present studies on improvements to methods for forecasting numbers of incoming pat...

Table of Contents:

• Background
• A research programme for improving forecasts of patent filings
• From theory to time series
• An assessment of the comparative accuracy of time series forecasts of patent filings: the benefits of disaggregation in space or time
• Driving forces of patent applications at the European Patent Office: a sectoral approach
• Time series methods to forecast patent filings
• International patenting at the European Patent Office: aggregate, sectoral and family filings
• Micro data for macro effects
• Improving forecasting methods at the European Patent Office.