• jump to: Main navigation
  • jump to: Main content
  • jump to: Footer

Callaghan Innovation
logo - print

Search form
  • home
    • Access to
      experts
      • Māori Economy
      • Founder Incubators
      • Accelerators
      • Technology Incubators
      • Networks
      • Collaborative projects
      • Agritech ITP
      • Hemp and medicinal cannabis capability roadmaps
      • Health Tech Activator website

      Access to experts

      Time to get in touch?

      Contact us now

    • Technology
      and product development
      • Our R&D services website
      • New Zealand CleanTech Mission
      • Aronui Industry 4.0 Navigator
      • Gracefield Innovation Quarter
      • Te Whare a Māui - The Māori Innovation Hub
      • Manufacturing robots
      • Industry 4.0 Hub

      Technology and product development

      Time to get in touch?

      Contact us now

    • Innovation
      skills
      • Capital Education
      • Lean
      • Digital Lean
      • Beyond IP

      Innovation skills

      Time to get in touch?

      Contact us now

    • R&D
      funding
      • Student Grants
      • Getting Started Grants
      • 2021-22 Project Grants
      • R&D Tax Incentive
      • R&D Loan Scheme
      • Guidelines and FAQs
      • Grant Recipients

      R&D funding

      Time to get in touch?

      Contact us now

    • Scale-Up NZ

      Find out about Scale-Up NZ

      Time to get in touch?

      Contact us now

    • Spotlight on...
      • Techweek22

      All spotlight on... services

      Time to get in touch?

      Contact us now

  • About
  • News and events
  • Customers
  • Careers
  • Contact
  • Subscribe

Callaghan Innovation Research Papers

Back to Research Papers

TitleUncertainty of empirical correlation equations
Publication TypeJournal Article
Year of Publication2016
AuthorsFeistel, R., Lovell-Smith J.W., Saunders P., and Seitz S.
JournalMetrologia
Volume53
Issue4
Pagination1079 - 1090
Date Published2016
ISSN00261394 (ISSN)
KeywordsCorrelation equation, Covariance matrix, Covariance method, Equations of state, Least squares approximations, Parameter estimation, regression, Seawater, Thermodynamic properties, uncertainty, Uncertainty analysis, Uncertainty propagation
URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84983605192&doi=10.1088%2f0026-1394%2f53%2f4%2f1079&partnerID=40&md5=6b61a599b38de2c70a0ccea133ac641f
DOI10.1088/0026-1394/53/4/1079
  • Google Scholar
  • RTF

Back to top

  • Access to experts
  • Technology and product development
  • Innovation skills
  • R&D funding
  • Scale-Up NZ
  • About us
  • News and events
  • Careers
  • Customer stories
  • Contact us
  • Site map

Client login (IMS)

  • Follow on
    Facebook
  • Follow on
    Twitter
  • Connect on
    LinkedIn
  • About this site
  • Privacy policy
  • Terms and conditions