The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ... of the methods in order to implement and interpret the outcomes of multivariate ...

3 Produce visualisations of multivariate data using principal components analysis (PCA) and non-metric multi-dimensional scaling (MDS) using statistical software. 4 Perform analyses to relate two sets ...

I actively involve in professional and academic activities such as serving as frequent referees for peer-reviewed statistical journals such as: Journal of the Royal Statistical Society (Series B and C ...

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

The following materials can be downloaded from here: datasets (where the data matrix is available), computer output, SPSS syntax for Chapters 1-7, software and input files for Chapters 8-11, LISREL ...

513 x 700A volume in the Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences series. A copy of the book may be ordered from CRC Press ...

There are a number of methods that project the data on to a low-dimensional space ... used methods for projecting onto a low-dimensional space is principal components analysis (PCA). The PCA form of ...