rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Forecasting Innovations
    sub title: Methods for Predicting Numbers of Patent Filings
  name:
    name part: Hingley, Peter.
    role:
      role term: editor.
  name:
    name part: Nicolas, Marc.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 268 p. 24 illus. online resource.
  abstract: 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. .
  table of contents: 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.
  note: edited by Peter Hingley, Marc Nicolas.
  subject:
    topic: Management
  subject:
    topic: Industrial management
  subject:
    topic: Business mathematics
  subject:
    topic: Statistics
  subject:
    topic: Econometrics
  subject:
    topic: Economic policy
  subject:
    topic: Economics
  subject:
    topic: Econometrics
  subject:
    topic: Business Mathematics
  subject:
    topic: Innovation/Technology Management
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  subject:
    topic: R & D/Technology Policy
  classification: HB139-141
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540359920
  identifier: http://dx.doi.org/10.1007/3-540-35992-3
  record info:
    record creation date: 100301
    record change date: 20151204170430.0
    record identifier: 978-3-540-35992-0