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Forecasting Innovations: Methods for Predicting Numbers of Patent Filings
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	258375418 Buchausg. u.d.T.: ‡Forecasting innovations
087q	978-3-540-35991-3
100b	Hingley, Peter
104b	Nicolas, Marc
331	Forecasting Innovations
335	Methods for Predicting Numbers of Patent Filings
410	Berlin, Heidelberg
412	Springer Berlin Heidelberg
425	2006
425a	2006
433	Online-Ressource (VII, 267 p. 24 illus, digital)
451b	SpringerLink. Bücher
501	Literaturverz. S. 247 - 254
517	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
527	Buchausg. u.d.T.: ‡Forecasting innovations
540a	ISBN 978-3-540-35992-0
700	\|KCH
700	\|BUS021000
700b	\|330.015195
700b	\|608.74
700b	\|600
700b	\|330
700c	\|HB139-141
700g	1270901680 QP 215
700g	1271535491 ZG 9180
700m	\|608.74
700x	\|00
750	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.
753	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: ResearchersKeywords: EconometricsForecastingPatentsRegressionSurveys
902g	208913092 Europa
902s	209062703 Patent
902f	00000011 Aufsatzsammlung
012	264362624
081	Forecasting Innovations
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/3-540-35992-3