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OEFPIL: An Alternative Method for Curve Fitting

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F25%3AN0000118" target="_blank" >RIV/00177016:_____/25:N0000118 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ama-science.org/proceedings/details/5928" target="_blank" >https://www.ama-science.org/proceedings/details/5928</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5162/SMSI2025/B5.3" target="_blank" >10.5162/SMSI2025/B5.3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    OEFPIL: An Alternative Method for Curve Fitting

  • Original language description

    In recent years, as measurement processes have grown increasingly complex, curve fitting has become a vital tool for aligning theoretical models with observed data. As instrumentation improves, previously overlooked uncertainties must now be addressed for more precise measurements. Uncertainties as well as correlation in both dependent and independent variables should be taken into account. This is illustrated by applying the algorithm OEFPIL to the determination of the internal resistance of an AC source from its loading characteristics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/LUASK22008" target="_blank" >LUASK22008: Efficient computational methods for materials characterization at the nanoscale</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sensor and Measurement Science International (SMSI 2025)

  • ISBN

    978-3-910600-06-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    107-108

  • Publisher name

  • Place of publication

  • Event location

    Nürnberg

  • Event date

    May 6, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article