Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

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NEW NONPARAMETRIC TESTS FOR LOCATION-SCALE TESTING IN A MIXED DESIGN

Authors

  • Fouad Khalawi

Keywords:

Levene transformation, simple tree alternative, location-scale problem

DOI:

https://doi.org/10.17654/0972361726002

Abstract

A mixed experimental design that combines Randomized Complete Block Design (RCBD) and Completely Randomized Design (CRD) can be structured to get advantages from both types of designs. In some experiments, researchers start with an RCBD plan but they might need to switch to a CRD due to circumstances beyond their control. Data from a mixed design can be analyzed using statistical methods that combine different statistics. In this paper, new tests are developed for testing the differences in mean and variances simultaneously for mixed designs of RCBD and CRD using nonparametric methods. These nonparametric tests are estimated and compared under a symmetric distribution via Monte Carlo simulation.

Received: October 10, 2025
Revised: October 15, 2025
Accepted: December 23, 2025

References

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Published

02-01-2026

Issue

Section

Articles

How to Cite

NEW NONPARAMETRIC TESTS FOR LOCATION-SCALE TESTING IN A MIXED DESIGN. (2026). Advances and Applications in Statistics , 93(1), 19-32. https://doi.org/10.17654/0972361726002

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