A Consistent Test for Multivariate Normality Based on the Empirical Characteristic Function.
A Geometric Appraoch to Finite Sample and Large Deviation Properties in Two-Way ANOVA with Spherically Distributed Error Vectors.
A homogeneity test of large dimensional covariance matrices under non-normality
A test statistic for homogeneity of two or more covariance matrices is presented when the distributions may be non-normal and the dimension may exceed the sample size. Using the Frobenius norm of the difference of null and alternative hypotheses, the statistic is constructed as a linear combination of consistent, location-invariant, estimators of trace functions that constitute the norm. These estimators are defined as -statistics and the corresponding theory is exploited to derive the normal limit...
A one-way ANOVA test for functional data with graphical interpretation
A new functional ANOVA test, with a graphical interpretation of the result, is presented. The test is an extension of the global envelope test introduced by Myllymäki et al. (2017, Global envelope tests for spatial processes, J. R. Statist. Soc. B 79, 381-404, doi: 10.1111/rssb.12172). The graphical interpretation is realized by a global envelope which is drawn jointly for all samples of functions. If a mean function computed from the empirical data is out of the given envelope, the null hypothesis...
ABSTRACT - Some Tests on Exponential Populations.
Algorithm 33. Test for difference in trends in a two-factor experiment with repeated measurements
Algorithm 34. Use of orthogonal components in tests for trend
Algorithms for determining the model structure of a controlled system
Analysis of variance as regression model with a reparametrization restriction
Let us consider the linear model covering the one-way classification as a special casse. In the paper the relationship between testing of some linear hypothesis and estimating of parameters in the linear model by common software packages is examined.
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