Welcome to an in-depth exploration of multivariate normality testing, a cornerstone in advanced statistical analysis! In this video, we journey from the foundational concepts of multivariate normal distributions to the intricacies of modern testing techniques. We’ll visually grasp the 2D elliptical cross-sections and understand the significance behind them. Delve into the Mahalanobis distances, an essential metric that encapsulates the essence of multivariate data. Plus, we’ll guide you step-by-step on constructing Mahalanobis-QQ plots and elucidate their relevance. We cap off our discussion by introducing the Hanze-Zirkler test statistic, breaking down its role and application in multivariate normality testing
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