Infiltrating stromal and immune cells form the major fraction of normal cells in tumour tissue
and not only perturb the tumour signal in molecular studies but also have an important role …

Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have
severe consequences for human society. Regional frequency analysis helps to solve the …

We consider the problem of identifying and testing multiple outliers in linear models. The
available outlier identification methods often do not succeed in detecting multiple outliers …

The Mahalanobis distance is a well‐known criterion which may be used for detecting
outliers in multivariate data. However, there are some discrepancies about which critical …

Growth-curve models are generalized multivariate analysis-of-variance models. The basic
idea of the models is to use different polynomials to fit different treatment groups involved in …

Humans have the ability to convey an array of emotions through complex and rich touch
gestures. However, it is not clear how these touch gestures can be reproduced through …

In this article, we consider simultaneous outlier identification rules for multivariate data,
generalizing the concept of so-called α outlier identifiers, as presented by Davies and …

In this paper we develop multivariate outlier tests based on the high-breakdown Minimum
Covariance Determinant estimator. The rules that we propose have good performance …

During a clinical trial of a new treatment, a large number of variables are measured to
monitor the safety of the treatment. It is important to detect outlying observations which may …

Motivation: In the analysis of differential peptide peak intensities (ie abundance measures),
LC-MS analyses with poor quality peptide abundance data can bias downstream statistical …