Forecasting Innovations

Name: Forecasting Innovations
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642071539
Price: 134.16 EUR
Availability: InStock

Methods for Predicting Numbers of Patent Filings

Автор: Peter Hingley, Marc Nicolas

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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This is a practical guide to solutions for forecasting demand for services and products in internati...

Информация за книгата

Автор

Peter Hingley, Marc Nicolas

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

268

EAN

9783642071539

ISBN

3642071538

Enbook ID

01652324

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

454

Размери

155 x 235 x 16

Пълно описание

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.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.

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Forecasting Innovations

Methods for Predicting Numbers of Patent Filings

Информация за книгата

Пълно описание

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