1 citations · 2 across the 3 of their papers we have counts for
4 papers
A Jensen-Shannon divergence based -- algorithm for missing value imputation in compositional data
Michail Tsagris, Connie Stewart, Abdulaziz Alenazi
A novel nonparametric method to impute missing values in compositional data is developed. The method is based on the -- algorithm, utilizes the Jensen-Shannon divergence and…
The --regression for compositional data: a unified framework for standard, temporal and spatial regression models including compositional predictors
Michail Tsagris, Nader Alharbi, Abdulaziz Alenazi +1
We revisit the --regression framework for compositional data. We formulate --regression as a non--linear least squares problem, study its asymptotic properties, and provide e…
Flexible non-parametric regression models for compositional data
Michail Tsagris, Abdulaziz Alenazi, Connie Stewart
Compositional data arise in many real-life applications and versatile methods for properly analyzing this type of data in the regression context are needed. When parametric assumpt…
Hypothesis testing for two population means: parametric or non-parametric test?
Michail Tsagris, Abdulaziz Alenazi, Kleio-Maria Verrou +1
The parametric Welch -test and the non-parametric Wilcoxon-Mann-Whitney test are the most commonly used two independent sample means tests. More recent testing approaches includ…