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Hotelling in Wonderland

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

While Hotelling’s T2 statistic is traditionally defined as the Mahalanobis distance between the sample mean and the true mean induced by the inverse of the sample covariance matrix, we hereby propose an alternative definition which allows a unifying and coherent definition of Hotelling’s T2 statistic in any Hilbert space independently from its dimensionality and sample size. In details, we introduce the definition of random variables in Hilbert spaces, the concept of mean and covariance in such spaces and the relevant operators for formulating a proper definition of Hotelling’s T2 statistic relying on the concept of Bochner integral.
Original languageEnglish
Title of host publicationFunctional Statistics and Related Fields
EditorsG. Aneiros, E. Bongiorno, R. Cao, P. Vieu
Pages211-216
Number of pages6
DOIs
Publication statusPublished - 2017

Keywords

  • Hotelling's T-square
  • Nonparametric inference
  • functional data analysis

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