Testing mean differences among groups: multivariate and repeated measures analysis with minimal assumptions
To date, there is a lack of satisfactory inferential techniques for the analysis of multivariate
data in factorial designs, when only minimal assumptions on the data can be made …
data in factorial designs, when only minimal assumptions on the data can be made …
How to compare small multivariate samples using nonparametric tests
In the life sciences and other research fields, experiments are often conducted to determine
responses of subjects to various treatments. Typically, such data are multivariate, where …
responses of subjects to various treatments. Typically, such data are multivariate, where …
Relationship between mental health and socio-economic, demographic and environmental factors in the COVID-19 lockdown period—a multivariate regression …
S Bonnini, M Borghesi - Mathematics, 2022 - mdpi.com
Amongst the several consequences of the COVID-19 pandemic, we should include
psychological effects on the population. The mental health consequences of lockdown are …
psychological effects on the population. The mental health consequences of lockdown are …
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations
In many scientific disciplines datasets contain many more variables than observational units
(so-called thick data). A common hypothesis of interest in this setting is the global null …
(so-called thick data). A common hypothesis of interest in this setting is the global null …
A nonparametric version of Wilks' lambda—Asymptotic results and small sample approximations
We propose a nonparametric version of Wilks' lambda (the multivariate likelihood ratio test)
and investigate its asymptotic properties under the two different scenarios of either large …
and investigate its asymptotic properties under the two different scenarios of either large …
Modeling 3D NAND Flash with Nonparametric Inference on Regression Coefficients for Reliable Solid-State Storage
Solid-state drives represent the preferred backbone storage solution thanks to their low
latency and high throughput capabilities compared to mechanical hard disk drives. The …
latency and high throughput capabilities compared to mechanical hard disk drives. The …
Some contributions to the analysis of multivariate data
In this paper, we provide an overview of recently developed methods for the analysis of
multivariate data that do not necessarily emanate from a normal universe. Multivariate data …
multivariate data that do not necessarily emanate from a normal universe. Multivariate data …
Nonparametric Analysis of Multivariate Data in Factorial Designs with Nondetects: A Case Study with Microbiome Data
M Kiefel, J Freidl - Journal of Agricultural, Biological and Environmental …, 2024 - Springer
The term “nondetects” describes observations that are not fully observed because the true
value is below a detection threshold—and can therefore not be precisely detected. One may …
value is below a detection threshold—and can therefore not be precisely detected. One may …
Multivariate small sample tests for two-way designs with applications to industrial statistics
In this paper, we present a novel nonparametric approach for multivariate analysis of two-
way crossed factorial design based on nonparametric combination applied to synchronized …
way crossed factorial design based on nonparametric combination applied to synchronized …
Predictors of pre-European deforestation on Pacific islands: A re-analysis using modern multivariate non-parametric statistical methods
A Schenk, M Neuhäuser, GD Ruxton… - Forest Ecology and …, 2021 - Elsevier
The many different islands of the Pacific provide a natural experiment that is ideal for
studying predictors affecting plant cover and habitat-type. Previous research into pre …
studying predictors affecting plant cover and habitat-type. Previous research into pre …