Forecasting Innovations: Methods for Predicting Numbers of Patent Filings
Language: English
Published by Springer, 2010
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
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Add to basketItem description from seller
In English.
Seller Inventory # ria9783642071539_new
- Title
- Forecasting Innovations: Methods for Predicting Numbers of Patent Filings
- Publisher
- Springer
- Publication year
- 2010
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642071538
- ISBN 13
- 9783642071539
- Item weight
- 512 grams
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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