Overview
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Forecasting Innovations
Book Subtitle: Methods for Predicting Numbers of Patent Filings
Editors: Peter Hingley, Marc Nicolas
DOI: https://doi.org/10.1007/3-540-35992-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-35991-3Published: 06 September 2006
Softcover ISBN: 978-3-642-07153-9Published: 14 October 2010
eBook ISBN: 978-3-540-35992-0Published: 23 November 2006
Edition Number: 1
Number of Pages: VIII, 268
Number of Illustrations: 24 b/w illustrations
Topics: Econometrics, Business Mathematics, Innovation/Technology Management, Statistics for Business, Management, Economics, Finance, Insurance, R & D/Technology Policy