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Forecasting Innovations - Methods for Predicting Numbers of Patent Filings

Forecasting Innovations - Methods for Predicting Numbers of Patent Filings

von: Peter Hingley, Marc Nicolas

Springer-Verlag, 2006

ISBN: 9783540359920, 274 Seiten

Format: PDF, OL

Mac OSX,Windows PC Apple iPad, Android Tablet PC's Online-Lesen für: Linux,Mac OSX,Windows PC

Preis: 123,00 EUR

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Forecasting Innovations - Methods for Predicting Numbers of Patent Filings


 

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 patent filings at the European Patent Office. Studies are presented from econometric, survey and systems theory viewpoints.

A recurring theme is the extent to which it is worthwhile to break down the components of the forecasting problem into classes based on geography, technical descriptions and sub-products. The contributions are reviewed by the practitioners of the existing methods, who seek to establish how to make use of the results and discover that it may not always be wise to put complete trust in established regression approaches. Along the road the reader will learn more about the patent system, debatably the best way for society to harness the forces of human invention.

Written for: Researchers

Keywords:
Econometrics
Forecasting
Patents
Regression
Surveys