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

Dynamic Equilibrium02:20

Dynamic Equilibrium

50.0K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
50.0K
Econometric Views (EViews)01:29

Econometric Views (EViews)

102
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
102
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

169
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
169
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

55.6K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
55.6K
Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

363
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
363
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

4.1K
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
4.1K

You might also read

Related Articles

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

Sort by
Same author

Forecasting nominal exchange rates using a dynamic model averaging framework.

Heliyon·2024
Same author

On the macrofinancial determinants of life and non-life insurance premiums.

The Geneva papers on risk and insurance. Issues and practice·2021
See all related articles

Related Experiment Video

Updated: May 27, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K

Corrigendum/Erratum to "Forecasting nominal exchange rates using a dynamic model averaging framework" [Heliyon Volume

Martin Časta1,2

  • 1Prague University of Economics and Business, Prague, Czech Republic.

Heliyon
|February 17, 2025
PubMed
Summary

This study corrects a previously published article DOI. The correction ensures accurate citation and retrieval of scientific research findings for better accessibility.

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.0K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.6K

Related Experiment Videos

Last Updated: May 27, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.0K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.6K

Area of Science:

  • Scientific Publishing
  • Research Integrity
  • Bibliometrics

Context:

  • Accurate citation is crucial for scientific integrity.
  • Proper referencing ensures research reproducibility.
  • Bibliometric analysis relies on correct article identifiers.

Purpose:

  • To provide a correction to a specific article DOI.
  • To ensure the integrity of the scientific record.
  • To facilitate accurate retrieval of research information.

Summary:

  • This entry serves as a correction notice for a specific article DOI.
  • It rectifies an error in the previously assigned digital object identifier.
  • The correction ensures the DOI accurately points to the intended publication.

Impact:

  • Ensures accurate tracking of scientific literature.
  • Improves the reliability of citation databases.
  • Facilitates seamless access to research for the scientific community.