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Goia A., Vieu P., An introduction to recent advances in high/infinite dimensional statistics, J.Ghiglietti A., Ieva F., Paganoni A.M., Statistical inference for stochastic processes: Two-sample hypothesis tests, J.Galeano P., Joseph E., Lillo R.E., The Mahalanobis distance for functional data with applications to classification, Technometrics 57 ( 2015) 281– 291.Freedman D., Lane D., A nonstochastic interpretation of reported significance levels, J.Fraiman R., Moreno L., Vallejo S., Some hypothesis tests based on random projection, Comput.Ferraty F., Vieu P., Nonparametric Functional Data Analysis, Springer, New York, 2006.Ferraty F., Van Keilegom I., Vieu P., On the validity of the bootstrap in non-parametric functional regression, Scand.Feng L., Sun F., A note on high-dimensional two-sample test, Statist.Fan J., Lin S.K., Test of significance when data are curves, J.Egozcue J.J., Díaz-Barrero J.L., Pawlowsky-Glahn V., Hilbert space of probability density functions based on aitchison geometry, Acta Math.
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Dalla Rosa M., Sangalli L.M., Vantini S., Principal differential analysis of the Aneurisk65 data set, Adv.Cuevas A., Febrero M., Fraiman R., On the use of the bootstrap for estimating functions with functional data, Comput.Cuevas A., Febrero M., Fraiman R., An ANOVA test for functional data, Comput.Cuesta-Albertos J.A., Fraiman R., Ransford T., Random projections and goodness-of-fit tests in infinite-dimensional spaces, Bull.Cuesta-Albertos J.A., Febrero-Bande M., A simple multiway ANOVA for functional data, TEST 19 ( 2010) 537– 557.Cox D.D., Lee J.S., Pointwise testing with functional data using the westfall-young randomization method, Biometrika 95 ( 2008) 621– 634.Corain L., Melas V.B., Pepelyshev A., Salmaso L., New insights on permutation approach for hypothesis testing on functional data, Adv.
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Chen S.X., Qin Y.L., A two-sample test for high-dimensional data with applications to gene-set testing, Ann.Chen H., Friedman J.H., A new graph-based two-sample test for multivariate and object data, J.Cardot H., Prchal L., Sarda P., No effect and lack-of-fit permutation tests for functional regression, Comput.Cao G., Yang L., Todem D., Simultaneous inference for the mean function based on dense functional data, J.Bunea F., Ivanescu A.E., Wegkamp W.H., Adaptive inference for the mean of a Gaussian process in functional data, J.(Eds.), Contributions in Infinite-Dimensional Statistics and Related Topics, Società Editrice Esculapio, Bologna, Italy, 2014. Biswas M., Ghosh A.K., A nonparametric two-sample test applicable to high dimensional data, J.Ben-Israel A., Greville T.N.E., Generalized Inverses: Theory and Applications, Springer, New York, 2003.Baringhaus L., Franz C., Rigid motion invariant two-sample tests, Statist.
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