activity
20202026
most citedOn Uses of Van der Waerden Test: A Graphical Approach

3 citations · 6 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2026★ 1 cited

Median Radial Function: A Robust, Covariance-Free Framework and Applications

Elsayed Elamir

A median-radius framework for assessing centrality in multivariate data using median distances is proposed. Based on the proposed framework, a scale-invariant measure of radial con…

stat.ME2026

Exploring Multivariate Data Using Median Absolute Deviation Depth

Elsayed Elamir

We propose and analyze the moving median absolute deviation (MMAD) as a robust depth construction based on the median absolute distance functional with particular emphasis on its l…

stat.ME2026

Depth-Based Vector Median Absolute Deviation Moments for Robust Multivariate Shape Analysis

Elsayed Elamir

Classical multivariate shape analysis relies on covariance-standardized moments, such as Mardia skewness and kurtosis, which are sensitive to outliers and require finite moments. T…

stat.ME2026

A Robust Moment System Based on Absolute Deviations and Quantile Slicing

Elsayed Elamir

This study develops two robust, quantile-sliced moment systems, mean and median absolute deviation (MAD and MedAD moments), to serve as foundational tools in parametric modeling, s…

stat.ME2026

A Percentile-Focused Regression Method for Applied Data with Irregular Error Structures

Elsayed Elamir

Irregular errors such as heteroscedasticity and nonnormality remain major challenges in linear modeling. These issues often lead to biased inference and unreliable measures of unce…

stat.ME2024

The Role of Mean Absolute Deviation Function in Obtaining Smooth Estimation for Distribution and Density Functions: Beta Regression Approach

Elsayed A. H. Elamir

Smooth Estimation of probability density and distribution functions from its sample is an attractive and an important problem that has applications in several fields such as, busin…

stat.ME2022★ 1 cited

On Uses of Mean Absolute Deviation: Shape Exploring and Distribution Function Estimation

Elsayed A. H. Elamir

Mean absolute deviation function is used to explore the pattern and the distribution of the data graphically to enable analysts gaining greater understanding of raw data and to fos…

stat.ME2022★ 3 cited

On Uses of Van der Waerden Test: A Graphical Approach

Elsayed Elamir

Although several nonparametric tests are available for testing population identical distributions or equal means in multiple groups problem, the Van der Waerden test has asymptotic…

stat.ME2022★ 1 cited

A Graphical Approach for Friedman Test: Moments Approach

Elsayed A. H. Elamir

Friedman test is a nonparametric method that proposed for analyzing data from a randomized complete block design as a robust alternative to parametric method and widely applied in…

stat.ME2020

Simultaneous test for Means: An Unblind Way to the F-test in One-way Analysis of Variance

Elsayed A. H. Elamir

After rejecting the null hypothesis in the analysis of variance, the next step is to make the pairwise comparisons to find out differences in means. The purpose of this paper is th…