• Understand the principles of modelling calibration results
  • Learn how to use calibration results to ensure compliance with the latest VIM definition
  • Learn how to use M-CARE modelling software

Employees tasked with interpreting calibration results. R&D personnel seeking to model measurement results and manage uncertainties in models more effectively.

  • Prior experience in performing calibrations would be useful
  • Basic skills in maths and statistics
  • Basic knowledge of metrology

By the end of the course, the participant will have a good understanding of the latest VIM definition and know how to apply it to real-life cases using the M-CARE tool.
They will know how to select the model that is best suited for using the data, validate it in relation to the data, and understand its limitations.

Program

Reminder of basic statistics principles

  • Position
  • Dispersion
  • Laws of distribution
  • Statistics tests (Student, Khi Deux, Fisher, etc.
    Reminder of the basic principles of GUM
  • Type A and Type B evaluations
  • Sum of variances
  • Law of propagation of uncertainty
    Statistics model selection and validation
  • Modelling: Ordinary, weighted, generalised least squares, GGMR (generalized Gauss-Markov regression)
  • Calibration signature: significance of coefficients
  • Analysis of residues: significance test, normality test
    Covariances
  • Covariance - definition and impact on a measurement result
  • Expressing opportunity as related to the causes of uncertainty (variances “LO” and “HO”)
    The variances-covariances matrix
  • Theory
  • Sample applications
    Familiarization with the numerical simulation method: Statistics model selection and validation
  • Definition of a probabilistic model Modelling theory
  • Modelling: ordinary, weighted, generalised least squares, GGMR
  • Calibration signature: significance of coefficients
  • Analysis of residues: significance test, normality test
    Software training
  • Using course learning media
  • Using the participants’ own examples
From 2400 € Ex. Tax On site or at our premises For a group of up to 12 people CUSTOM - Pre and post-course support and mentoring
Remote Coaching
From 2100 € Ex. Tax Course available in full online format Pre and post-course support and follow-up - Remote Coaching Customized
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  • Deltamu played a key role in drafting the CFM technical guide
  • The M-CARE modelling software was developed by Deltamu
  • Applied to real cases provided by the participants