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

Factorial Design02:01

Factorial Design

15.4K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
15.4K
Partial Fractions01:28

Partial Fractions

307
A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
307
Compacting Factor test01:22

Compacting Factor test

689
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
689
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

561
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
561
Methods of Medium Optimization01:28

Methods of Medium Optimization

19
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
19
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

5.5K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
5.5K

You might also read

Related Articles

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

Sort by
Same author

Correction to: NF-κB mediates radio-sensitization by the PARP-1 inhibitor, AG-014699.

Oncogene·2022
Same author

A RelA(p65) Thr505 phospho-site mutation reveals an important mechanism regulating NF-κB-dependent liver regeneration and cancer.

Oncogene·2016
Same author

STATISTICAL AND PSYCHOMETRIC INFERENCE IN PRINCIPAL COMPONENTS ANALYSIS.

Multivariate behavioral research·2016
Same author

The NF-κB subunit c-Rel regulates Bach2 tumour suppressor expression in B-cell lymphoma.

Oncogene·2015
Same author

Evolution from the TUG to PAP flap for breast reconstruction: Comparison and refinements of technique.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS·2015
Same author

Using body temperature, food and water consumption as biomarkers of disease progression in mice with Eμ-myc lymphoma.

British journal of cancer·2014
Same journal

Bayesian Machine Learning Tools for Alcohol Use Disorder Research: The bpaup R Package.

Multivariate behavioral research·2026
Same journal

A Unified Framework for Jointly modelling Response Times and Item Position Effects in Computer-Based Learning Assessments.

Multivariate behavioral research·2026
Same journal

Generalizability Theory Applied to Daily Relationship Quality: Substantive and Statistical Directions.

Multivariate behavioral research·2026
Same journal

A Modularized Higher-Order Diagnostic Classification Model for Clustered Attribute Hierarchies.

Multivariate behavioral research·2026
Same journal

Generalizing Causal Effects to a Target Population Without Individual-Level Data from the Target Population.

Multivariate behavioral research·2026
Same journal

betaselectr: Selective (and Proper) Standardization in Structural Equation Models.

Multivariate behavioral research·2026
See all related articles

Related Experiment Video

Updated: Mar 26, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.9K

MAXIMAL DECOMPOSITION: AN ALTERNATIVE TO FACTOR ANALYSIS.

J E Hunter

    Multivariate Behavioral Research
    |February 2, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a method to find the optimal subset of variables that explains the most variance in a dataset. It also offers a way to distinguish common and unique variance without relying on communalities.

    More Related Videos

    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
    08:51

    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

    Published on: September 20, 2024

    2.3K
    Basics of Multivariate Analysis in Neuroimaging Data
    06:35

    Basics of Multivariate Analysis in Neuroimaging Data

    Published on: July 24, 2010

    17.4K

    Related Experiment Videos

    Last Updated: Mar 26, 2026

    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
    06:52

    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

    Published on: September 17, 2019

    6.9K
    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
    08:51

    Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

    Published on: September 20, 2024

    2.3K
    Basics of Multivariate Analysis in Neuroimaging Data
    06:35

    Basics of Multivariate Analysis in Neuroimaging Data

    Published on: July 24, 2010

    17.4K

    Area of Science:

    • Multivariate statistics
    • Data analysis

    Background:

    • Identifying key variables is crucial for understanding complex datasets.
    • Traditional methods for variable selection can be computationally intensive.
    • Defining shared variance components is a persistent challenge in statistical modeling.

    Purpose of the Study:

    • To develop an efficient method for selecting optimal variable subsets.
    • To provide theorems for achieving equivalent solutions in variable selection.
    • To offer a novel approach for differentiating common and unique variance.

    Main Methods:

    • An approximate algorithm for identifying the best subset of variables of a specified size.
    • Development of theorems to ensure solution equivalence.
    • A modified method for variance decomposition.

    Main Results:

    • An effective approximate solution for the maximum variance subset problem.
    • Theoretical underpinnings for equivalent variable selection solutions.
    • A new technique for analyzing common and unique variance components.

    Conclusions:

    • The proposed method efficiently identifies subsets that maximize explained variance.
    • The theorems provide a robust framework for variable selection.
    • The variation offers a valuable alternative for variance partitioning without communalities.