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Springer Forecasting Innovations: Methods for Predicting Numbers of Patent Filings

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Description

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. From the Back Cover 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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2010
Listed Since
20 September 2010

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