Forecasting Innovations : Methods for Predicting Numbers of Patent Filings

edited by Peter Hingley, Marc Nicolas

This is a practical guide to solutions for forecasting demand for services and products in international markets - and much more than just a listing of dry theoretical methods. Leading experts present studies on improving methods for forecasting numbers of incoming patent filings at the European Patent Office. These are reviewed by practitioners of the existing methods, revealing that it may not always be wise to trust established regression approaches.

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Year of publication:	2006
Other Persons:	Hingley, Peter (contributor) ; Nicolas, Marc (contributor)
Publisher:	Berlin, Heidelberg : Springer Berlin Heidelberg
Subject:	Patent \| Prognoseverfahren \| Forecasting model \| Innovation \| Theorie \| Theory \| Europa
Description of contents:	Table of Contents [gbv.de] ; Description [swbplus.bsz-bw.de]

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Extent:	Online-Ressource (VII, 267 p. 24 illus, digital)
Series:	SpringerLink / Bücher
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
Notes:	Literaturverz. S. 247 - 254 Preliminary; 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; Back matter
ISBN:	978-3-540-35992-0 ; 978-3-540-35991-3
Other identifiers:	10.1007/3-540-35992-3 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013520570