![]() The student will learn the basic techniques for analyzing multi-dimensional data, including visualization, study multivariate distributions and their propertiesĪbility to discuss various methods for dimension reduction. In this course illustrations are provided on real datasets with the help of the R statistical software. Multivariate data arise when researchers measure several variables on each unit in their sample. The majority of data sets collected by researchers in all disciplines are multivariate. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The computations involved in applying most multivariate techniques are considerable, and their routine use requires a suitable software package. In addition, most analyses of multivariate data should involve the construction of appropriate graphs and diagrams and this will also need to be carried out by the same package. The course aims at introducing the students to multivariate analysis in statistical modeling. ![]()
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