An overview of multivariate data analysis

A cross section of basic yet rapidly developing topics in multivariate data analysis is surveyed, emphasizing concepts required in facing problems of practical data analysis while de-emphasizing technical and mathematical detail. Aspects of data structure, logical structure, epistemic structure, and hypothesis structure are examined. Exponential families as models, problems of interpretation, parameters, causality, computation, and data cleaning and missing values are discussed.