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

CURT: a randomization test for statistical comparison between experimental curves.

M Rocchetti1, G De Nicolao

  • 1Istituto di Ricerche Farmacologiche Mario Negri, Biomathematics and Biostatistics Unit, Milan, Italy.

Computer Methods and Programs in Biomedicine
|March 1, 1990
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

Workplace violence against mental health professionals in Italy: a nationwide survey on prevalence and risk perception.

European archives of psychiatry and clinical neuroscience·2026
Same author

Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach.

The AAPS journal·2024
Same author

Striatin knock out induces a gain of function of I<sub>Na</sub> and impaired Ca<sup>2+</sup> handling in mESC-derived cardiomyocytes.

Acta physiologica (Oxford, England)·2024
Same author

Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment.

Computer methods and programs in biomedicine·2019
Same author

Modeling tumor growth inhibition and toxicity outcome after administration of anticancer agents in xenograft mice: A Dynamic Energy Budget (DEB) approach.

Journal of theoretical biology·2018
Same author

A systematic review of cognitive effects of exercise in depression.

Acta psychiatrica Scandinavica·2017
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
See all related articles

A novel nonparametric method quantifies time series group differences using a norm-based index and randomization testing. This approach effectively assesses statistical significance and error rates for time series analysis.

Area of Science:

  • Statistics
  • Time Series Analysis
  • Nonparametric Methods

Background:

  • Comparing two groups of time series is crucial in various scientific fields.
  • Existing methods may have limitations in handling complex time series data.
  • There is a need for robust statistical tests for time series group comparisons.

Purpose of the Study:

  • To introduce a new nonparametric method for testing differences between two time series groups.
  • To develop a difference index based on the mathematical concept of norm.
  • To assess the statistical significance of the difference using a randomization procedure.

Main Methods:

  • A novel difference index is proposed, utilizing the mathematical notion of norm.
  • Statistical significance is determined through a randomization procedure.

Related Experiment Videos

  • Alpha and beta error rates are evaluated using computer simulations.

    • Main Results:

    • The proposed nonparametric method is effective in detecting differences between time series groups.
    • Computer simulations demonstrate the accuracy of the error rate evaluations.
    • The method's performance is comparable to established statistical tests like Student's t-test.

    Conclusions:

    • The new nonparametric method provides a reliable approach for comparing two groups of time series.
    • The norm-based difference index and randomization procedure offer a robust statistical framework.
    • This method has practical applications in analyzing experimental time series data.