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Maximum likelihood parallel factor analysis (MLPARAFAC)
Lorenzo Vega-Montoto
, Peter D. Wentzell
Energy & Environmental Science & Technology
Research output
:
Contribution to journal
›
Article
›
peer-review
33
Scopus citations
Overview
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Keyphrases
Maximum Likelihood
100%
Parallel Factor Analysis
100%
Measurement Error
50%
Three-way Array
50%
General Algorithm
50%
Error Structure
25%
Factor Analysis
25%
Error Covariance Matrix
25%
Correlation Structure
25%
Non-anechoic Measurements
25%
Noise Type
25%
Alternating Least Squares
25%
Simulation Study
25%
PARAFAC Algorithm
25%
Noise Measurement
25%
Noise Correlation
25%
Statistical Validation
25%
Trilinear Decomposition
25%
Computer Science
maximum-likelihood
100%
Measurement Error
50%
Simulation Study
25%
Error Structure
25%
Error Condition
25%
Measurement Noise
25%
Least Squares Method
25%
Error Covariance Matrix
25%
Engineering
Maximum Likelihood
100%
Measurement Error
50%
Error Covariance Matrix
25%
Measurement Noise
25%
Least Squares Method
25%
Physics
Factor Analysis
100%
Covariance
33%
Noise Measurement
33%
Least Squares Method
33%
Earth and Planetary Sciences
Factor Analysis
100%
Covariance
33%
Noise Measurement
33%