Homogeneity test for functional data

Homogeneity Test for Correlated Binary Data

In ophthalmologic studies, measurements obtained from both eyes of an individual are often highly correlated. Ignoring the correlation could lead to incorrect inferences. An asymptotic method was proposed by Tang and others (2008) for testing equality of proportions between two groups under Rosner's model. In this article, we investigate three testing procedures for general g ≥ 2 groups. Our si...

Linear Models for Functional Data

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A Randomness Test for Stable Data

In this paper, we propose a new method for checking randomness of non-Gaussian stable data based on a characterization result. This method is more sensitive with respect to non-random data compared to the well-known non-parametric randomness tests.

O’Brien Test for Homogeneity of Variance

The homogeneity of variance assumption is one of the critical assumptions underlyingmost parametric statistical procedures such as the analysis of variance and it is important to be able to test this assumption. In addition, showing that several samples do not come from populations with the same variance is sometimes of importance per se. Among the many procedures used to test this assumption, ...

Test of independence for functional data