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Multivariate statistics
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Simultaneous observation and analysis of more than one outcome variable
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Facets
1
Data mining
Process of extracting and discovering patterns in large data sets
Subclasses
2
Independent component analysis
Signal processing computational method
Principal component analysis
Method of data analysis
Subject of
14
Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach
scientific article published on 16 April 2020
Human Adenocarcinoma Cell Line Sensitivity to Essential Oil Phytocomplexes from Pistacia Species: a Multivariate Approach
scientific article published on 11 August 2017
A multivariate analysis of adhesion molecules expression in assessment of colorectal cancer
scientific article published on 01 June 2007
Analysis of associations with change in a multivariate outcome variable when baseline is subject to measurement error
scientific article
Prognostic significance of molecular markers in oral squamous cell carcinoma: a multivariate analysis
scientific article published in December 2009
Predicting hotspots for red-listed species: multivariate regression models for oak-associated beetles
Time factor in postoperative radiotherapy: a multivariate locoregional control analysis in 868 patients
scientific article published on 01 June 2003
Incorporating behavioral variables into crash count prediction by severity: A multivariate multiple risk source approach
scientific article published on 06 June 2019
Predictors of injury in ice hockey players. A multivariate, multidisciplinary approach
scientific article
Monitoring of adherent live cells morphology using the undecimated wavelet transform multivariate image analysis (UWT-MIA).
scientific article published in August 2016
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Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables.

Subclass of
Statistics
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