Continuing education courses87
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Multivariate analysis  

Description

This course studies topics from multivariate statistical analysis. Topics covered include: random vectors, measures of center and variation in multivariate moments. Multivariate normal distribution. Tests for normality. Estimation of the mean vector and the variance analysis, independence, multivariate –covariance matrix. Wishart and Hotelling distributions. Statistical inference. Union – Intersection Test. Confidence regions. Multivariate analysis of variance and multivariate regression analysis. Least squares method and Wilks distribution. Analysis of covariance. Principal components, Factor analysis, Discriminant analysis, Cluster analysis. The R statistical programming language will be used for applying the introduced methods in a range of Data Science problems. Outcome: Not Provided

Delivery mode

Presential
English

Name

Multivariate analysis
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).