This paper proposes a novel tolerance design method for robot manipulators to select the
optimal tolerances of kinematic parameters. A tolerance optimization model is presented to …

Multivariate phenotypes are frequently encountered in genetic association studies. The
purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic …

Functional data analysis has been a popular statistical research topic for the past three
decades. Functional data are often obtained by observing a number of subjects over time …

With modern technology development, functional data are being observed frequently in
many scientific fields. A popular method for analyzing such functional data is “smoothing …

We consider detecting associations between a trait and multiple single nucleotide
polymorphisms (SNPs) in linkage disequilibrium (LD). To maximize the use of information …

We review the principal information theoretic tools and their use for feature selection, with
the main emphasis on classification problems with discrete features. Since it is known that …

Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete
context for the theoretical basis and implementation of Pearson's monumental contribution …

The Chi-Square test (χ2 test) is a family of tests based on a series of assumptions and is
frequently used in the statistical analysis of experimental data. The aim of our paper was to …

In this paper, we propose and study a new global test, namely, GPF test, for the one‐way
anova problem for functional data, obtained via globalizing the usual pointwise F‐test. The …

Testing the equality of two means is a fundamental inference problem. For high-dimensional
data, the Hotelling's T 2-test either performs poorly or becomes inapplicable. Several …