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Testing for the mean of random curves : a penalization approach
Journal article   Open access

Testing for the mean of random curves : a penalization approach

Andre Mas
Statistical Inference for Stochastic Processes, Vol.10(2), pp.147 - 163
07/2007

Abstract

Random curves functional data weak convergence hypothesis testing local alternatives AMS Mathematics Subject Classication : 62E20, 62G10, 62G20.
Let X 1 ; :::; X n be an i.i.d. sample of random curves, viewed as Hilbert space valued random elements, with mean curve m: An asymptotic test of m = m 0 vs m 6 = m 0 is proposed, when m 0 is a …xed known function. The test statistics converges under very mild assumptions and relies on the pseudo-inversion of the covariance operator (leading to a non standard inverse problem). The power against local alternatives is investigated.
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