Hingley / Nicolas Forecasting Innovations
2006
ISBN: 978-3-540-35992-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Methods for Predicting Numbers of Patent Filings
E-Book, Englisch, 268 Seiten, eBook
ISBN: 978-3-540-35992-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
