Browsing by Subject "Two-sample problem"
Now showing items 1-6 of 6
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Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data
(Elsevier, 2019)We consider two-sample tests for functional data with observations which may be uni- or multi-dimensional. The new methods are formulated as -type criteria based on empirical characteristic functions and are convenient ... -
Change-point methods for multivariate time-series: paired vectorial observations
(Springer, 2020)We consider paired and two-sample break-detection procedures for vectorial observations and multivariate time series. The new methods involve L2-type criteria based on empirical characteristic functions and are easy to ... -
Nonparametric probability weighted empirical characteristic function and applications
(Elsevier, 2016)We study certain properties of probability weighted quantities and suggest a nonparametric estimator of the probability weighted characteristic function introduced by Meintanis et al. (2014). Some properties of this estimator ... -
On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence
(Elsevier, 2019)We propose three new characterizations and corresponding distance-based weighted test criteria for the two-sample problem, and for testing symmetry and independence with multivariate data. All quantities have the common ... -
A review of testing procedures based on the empirical characteristic function
(SASA, 2016)The empirical characteristic function (ECF) has been in use in statistical inference for nearly fifty years now. We provide an overview of testing procedures based on the ECF within certain statistical ... -
Two-sample tests for multivariate functional data
(Springer, 2017)We consider two–sample tests for functional data with observations which may be uni– or multi–dimensional. The new methods are formulated as L2–type criteria based on empirical characteristic functions and are convenient ...