Presents multivariate statistical analysis in a comprehensive way, including the most useful approaches to multi-dimensional data Features numerous examples and exercises, including real-world applications Provides the underlying R and MATLAB or SAS code, equipping readers to reproduce all computations
Fengler, Matthias, Bag, Raul, and Härdle, Wolfgang Karl (2022). MVA - Scatterplots, Faces, Curves and PCPs. Q2 ecosystem. Available at https://quantinar.com/course/182/mva---scatterplots,-faces,-curves-and-pcp or http://dx.doi.org/10.24818/IDA-CL/2022.40.
@misc{fengler2022,
author = {Fengler, Matthias, Bag, Raul, and Härdle, Wolfgang Karl},
title = {MVA - Scatterplots, Faces, Curves and PCPs},
year = {2022},
howpublished = {Q2 ecosystem},
doi = {http://dx.doi.org/10.24818/IDA-CL/2022.40.},
url = {https://quantinar.com/course/182/mva---scatterplots,-faces,-curves-and-pcp}
}