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Linearization region in the straight-line calibration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73634029" target="_blank" >RIV/61989592:15310/25:73634029 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1142/9789819800674_0030" target="_blank" >http://dx.doi.org/10.1142/9789819800674_0030</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1142/9789819800674_0030" target="_blank" >10.1142/9789819800674_0030</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Linearization region in the straight-line calibration

  • Original language description

    We consider the statistical straight-line calibration model, which, as it turns out, is a nonlinear regression errors-in-variables model. Since the related measurement model to determine the straight-line parameters is generally nonlinear, the derived covariance matrix of the parameter estimators only provides approximations of the uncertainties. To address this, we introduce a statistical test that helps us determine whether the linearized statistical straight-line calibration model is suitable for the measured data. If the model demonstrates linearity, we can utilize the optimal estimators, the best linear unbiased estimators for the model parameters, along with their covariance matrix. Moreover, by including additional normality assumptions, we can calculate confidence intervals for any feasible linear combination of parameters. In particular, here we identify the linearization region of the straight-line calibration model and provide a simple sufficient condition for the model to be considered linearizable.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Advanced Mathematical and Computational Tools in Metrology and Testing XIII

  • ISBN

    978-981-9800-67-4

  • Number of pages of the result

    8

  • Pages from-to

    330-337

  • Number of pages of the book

    368

  • Publisher name

    World Scientific Publishing Company

  • Place of publication

    Singapore

  • UT code for WoS chapter