Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

What happens when data are fitted to the wrong equation?

K J Ellis, R G Duggleby

    The Biochemical Journal
    |June 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Resource use in the last three months of life by lung cancer patients in southern Ontario.

    Current oncology (Toronto, Ont.)·2019
    Same author

    Evaluation of controlled-release devices for providing chromium sesquioxide and zinc in Huacaya alpacas at pasture.

    Australian veterinary journal·2018
    Same author

    Body composition of HIV-infected male adults with wasting syndrome.

    Asia Pacific journal of clinical nutrition·2014
    Same author

    Total body potassium revisited.

    European journal of clinical nutrition·2013
    Same author

    Whole body counter calibration using Monte Carlo modeling with an array of phantom sizes based on national anthropometric reference data.

    Physics in medicine and biology·2011
    Same author

    Acetohydroxyacid synthase and its role in the biosynthetic pathway for branched-chain amino acids.

    Amino acids·2006

    Residual plots help identify inadequate mathematical models and reveal data error structures for better analysis. This method guides the selection of appropriate equations and weighting factors in data fitting.

    Area of Science:

    • Data Analysis
    • Mathematical Modeling
    • Statistical Methods

    Background:

    • Data analysis often requires fitting experimental data to mathematical equations.
    • Deviations can arise from random measurement errors or an inadequate model.
    • Residual plots are established tools for detecting model misfit.

    Purpose of the Study:

    • To demonstrate the utility of residual plot shapes in selecting appropriate mathematical equations.
    • To highlight how residual plots inform about data error structures.
    • To guide the determination of optimal weighting factors for data analysis.

    Main Methods:

    • Analysis of residual plots, which represent the difference between experimental and calculated values.
    • Examination of residual plot shapes to infer model adequacy.

    Related Experiment Videos

  • Investigation of residual patterns to understand data error characteristics.

    • Main Results:

    • The shape of residual plots serves as a valuable indicator for choosing more suitable equations.
    • Residual plots provide insights into the underlying error structure of the data.
    • Information from residual plots can directly inform the selection of weighting factors.

    Conclusions:

    • Residual plot analysis is a powerful technique for improving the accuracy of data fitting.
    • Understanding residual patterns enhances model selection and data weighting strategies.
    • This approach contributes to more robust and reliable data analysis outcomes.