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• W2950249564 abstract "This paper presents new results on Functional Analysis of Variance for fixed effect models with correlated Hilbert-valued Gaussian error components. The geometry of the Reproducing Kernel Hilbert Space (RKHS) of the error term is considered in the computation of the total sum of squares, the residual sum of squares, and the sum of squares due to the regression. Under suitable linear transformation of the correlated functional data, the distributional characteristics of these statistics, their moment generating and characteristic functions, are derived. Fixed effect linear hypothesis testing is finally formulated in the Hilbert-valued multivariate Gaussian context considered." @default.
• W2950249564 created "2019-06-27" @default.
• W2950249564 creator A5012788631 @default.
• W2950249564 date "2015-05-17" @default.
• W2950249564 modified "2023-09-27" @default.
• W2950249564 title "Functional Analysis of Variance for Hilbert-Valued Multivariate Fixed Effect Models" @default.
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• W2950249564 doi "https://doi.org/10.48550/arxiv.1505.04379" @default.
• W2950249564 hasPublicationYear "2015" @default.
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