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 Concept Videos

Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

5.9K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
5.9K
Forced Oscillations01:06

Forced Oscillations

7.0K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
7.0K
Oscillations In An LC Circuit01:30

Oscillations In An LC Circuit

2.6K
An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
2.6K
Damped Oscillations01:07

Damped Oscillations

6.2K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
6.2K
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

362
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
362
RLC Circuit as a Damped Oscillator01:30

RLC Circuit as a Damped Oscillator

1.5K
An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...
1.5K

You might also read

Related Articles

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

Sort by
Same author

X implies Y - Testing Hypotheses of Direction of Effect Using Configural Frequency Analysis.

Integrative psychological & behavioral science·2026
Same author

Cumulant-Based Approaches for Testing the Assumption of Independent Errors in Non-Gaussian Parallel and Congeneric Measures.

Educational and psychological measurement·2026
Same authorSame journal

Control of Type 1 and Type 2 Errors in Configural Frequency Analysis.

Journal for person-oriented research·2026
Same author

Does X at Time 1 Cause Y at Time 2? Longitudinal Causal Learning with Hidden Confounders.

Psychometrika·2026
Same author

Conceptual and methodological advances for understanding contextual, identity, and cultural effects in intervention research: The contextually informed research model.

Journal of school psychology·2025
Same author

Right-sizing growth mixture models as multi-group growth and confirmatory factor models.

Behavior research methods·2025

Related Experiment Video

Updated: Oct 19, 2025

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

17.0K

Configural Analysis of Oscillating Progression.

Alexander von Eye1, Wolfgang Wiedermann2, Stefan von Weber3

  • 1Michigan State University, USA.

Journal for Person-Oriented Research
|September 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces locally estimated scatterplot smoothing (LOESS) and Configural Frequency Analysis (CFA) to analyze oscillating data series. The methods help interpret complex smoothing functions and analyze real-world data, like COVID-19 trends.

Keywords:
Configural Frequency AnalysisCovid-19base modellocal optimizationloess smoothingtime series

More Related Videos

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.1K
Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

13.1K

Related Experiment Videos

Last Updated: Oct 19, 2025

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

17.0K
Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.1K
Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

13.1K

Area of Science:

  • Statistics
  • Data Analysis

Background:

  • Oscillating data series present challenges for traditional analysis.
  • Locally estimated scatterplot smoothing (LOESS) offers a flexible approach to model such data.
  • Interpreting complex smoothing functions requires robust statistical evaluation.

Purpose of the Study:

  • To demonstrate the application of LOESS for approximating oscillating score series.
  • To integrate Configural Frequency Analysis (CFA) for evaluating and interpreting LOESS results.
  • To propose a method for specifying the CFA base model using LOESS parameters.

Main Methods:

  • Application of LOESS smoothing to approximate oscillating data.
  • Utilization of CFA to identify significant patterns (types and antitypes) in the data relative to the LOESS model.
  • Specification of CFA base model parameters including window width, neighborhood weights, and local approximation functions.

Main Results:

  • LOESS provides a method to smooth and approximate oscillating data series.
  • CFA successfully identifies deviations from the LOESS model, indicating statistically significant patterns.
  • CFA types signify more observed cases than expected, while antitypes indicate fewer cases.

Conclusions:

  • The combination of LOESS and CFA offers a powerful framework for analyzing and interpreting complex, oscillating data.
  • This approach enhances the understanding of patterns in time-series data.
  • The methodology was successfully applied to analyze early COVID-19 diagnosis trends in France.