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

Methods for fitting equations with two or more non-linear parameters

I A Nimmo, G L Atkins

    The Biochemical Journal
    |August 1, 1976
    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

    The glutathione S-transferases of fish.

    Fish physiology and biochemistry·2013
    Same author

    Allosteric regulation of proton translocation by a vacuolar adenosinetriphosphatase.

    European journal of biochemistry·1995
    Same author

    Arachidonic acid binds to apolipoprotein D: implications for the protein's function.

    FEBS letters·1995
    Same author

    All-payer rates: bringing order to the health care market.

    EBRI issue brief·1993
    Same author

    Taming health care costs now.

    Issues in science and technology·1992
    Same author

    Reconstitution and kinetics of vacuolar H(+)-translocating ATPases from plants and animals.

    Biochemical Society transactions·1992
    Same journal

    Nanobodies against Plasmodium adhesins that block receptor engagement and malaria parasite invasion.

    The Biochemical journal·2026
    Same journal

    Persistence without turnover: the RhoG G12E mutant highlights the role of nucleotide cycling in RhoG signaling.

    The Biochemical journal·2026
    Same journal

    Alternative Splicing of Rice Chloroplastic CuZn Superoxide Dismutase, OsCSD2: Impact on expression and protein characteristics.

    The Biochemical journal·2026
    Same journal

    Difference and similarity between the ubiquitous secretory pathway Ca2+-ATPases, SERCA2b, and SPCA1a.

    The Biochemical journal·2026
    Same journal

    A molecular perspective on dimethylarginine dimethylaminohydrolases structure and function.

    The Biochemical journal·2026
    Same journal

    Proteolytic coordination of the OXPHOS Life Cycle.

    The Biochemical journal·2026
    See all related articles

    This study presents two methods for fitting non-linear equations to experimental data using least-squares criteria. Simultaneous fitting of data sets yields improved parameter estimates compared to individual set fitting.

    Area of Science:

    • Data analysis
    • Mathematical modeling

    Background:

    • Accurate parameter estimation is crucial for scientific research.
    • Non-linear equations are common in various scientific disciplines.

    Purpose of the Study:

    • To describe two novel methods for fitting non-linear equations to experimental data.
    • To compare the efficacy of simultaneous versus individual data set fitting for parameter estimation.

    Main Methods:

    • Least-squares criteria applied to non-linear equations.
    • Method 1: Solving simultaneous non-linear equations.
    • Method 2: Utilizing Taylor's theorem for iterative refinement.

    Main Results:

    • Two distinct approaches for non-linear equation fitting were detailed.

    Related Experiment Videos

  • Simultaneous fitting of multiple data sets significantly enhanced parameter estimation accuracy.
  • Individual fitting of data sets resulted in less precise parameter estimates.

    • Conclusions:

    • Simultaneous data fitting is a superior strategy for non-linear models with multiple parameters.
    • The described methods offer robust tools for experimental data analysis.
    • Improved parameter estimation advances the reliability of scientific models.