ABSTRACT. We propose a robust test for the equality of the covariance struc-tures in two functional samples. The test statistic has a chi-square asymptotic dis-tribution with a known number of degrees of freedom, which depends on the level of dimension reduction needed to represent the data. Detailed analysis of the asymp-totic properties is developed. Finite sample performance is examined by a simulation study and an application to egg–laying curves of fruit flies
In this paper, we consider testing the equality of two mean vectors with unequal covari-ance matrice...
In this article, we propose a test procedure based on chi-square divergence, suitable to testing hyp...
Given k independent samples of functional data, this paper deals with the problem of testing for the...
We propose a nonparametric test for the equality of the covariance structures in two functional samp...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
We propose a method of comparing two functional linear models in which explana-tory variables are fu...
We propose a novel bootstrap-based methodology for testing hypotheses about equality of certain char...
In many situations, when dealing with several populations, equality of the covariance operators is a...
<p>In this article, we propose two new tests for the equality of the covariance functions of several...
A test for independence and identical distribution of functional observations is proposed in this th...
In this paper, we generalize the metric-based permutation test for the equality of covariance operat...
A simple statistic is proposed for testing the equality of the covariance matrices of several multiv...
A simple statistic is proposed for testing the equality of the covariance matrices of several multiv...
21 pages, 5 figuresInternational audienceWe consider the problem of testing for the nullity of condi...
<p>The analysis of functional data calls for a bivariate functional covariance function σ(<i>s</i>, ...
In this paper, we consider testing the equality of two mean vectors with unequal covari-ance matrice...
In this article, we propose a test procedure based on chi-square divergence, suitable to testing hyp...
Given k independent samples of functional data, this paper deals with the problem of testing for the...
We propose a nonparametric test for the equality of the covariance structures in two functional samp...
Functional Data Analysis is the branch of statistics in which data are realizations of a functional ...
We propose a method of comparing two functional linear models in which explana-tory variables are fu...
We propose a novel bootstrap-based methodology for testing hypotheses about equality of certain char...
In many situations, when dealing with several populations, equality of the covariance operators is a...
<p>In this article, we propose two new tests for the equality of the covariance functions of several...
A test for independence and identical distribution of functional observations is proposed in this th...
In this paper, we generalize the metric-based permutation test for the equality of covariance operat...
A simple statistic is proposed for testing the equality of the covariance matrices of several multiv...
A simple statistic is proposed for testing the equality of the covariance matrices of several multiv...
21 pages, 5 figuresInternational audienceWe consider the problem of testing for the nullity of condi...
<p>The analysis of functional data calls for a bivariate functional covariance function σ(<i>s</i>, ...
In this paper, we consider testing the equality of two mean vectors with unequal covari-ance matrice...
In this article, we propose a test procedure based on chi-square divergence, suitable to testing hyp...
Given k independent samples of functional data, this paper deals with the problem of testing for the...