Article ID Journal Published Year Pages File Type
5129673 Statistics & Probability Letters 2017 6 Pages PDF
Abstract

This paper investigates the inferential properties of testing the means of Gaussian functional data, using a Mahalanobis type distance for Hilbert spaces. We establish the analytic power of exact and asymptotic tests, for the known and unknown covariance case, respectively.

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Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
Exact tests for the means of Gaussian stochastic processes
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