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

Fouad Khalawi

Advances and Applications in Statistics2026https://doi.org/10.17654/0972361726002article
ABDC C
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.17654/0972361726002

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@article{fouad2026,
  title        = {{NEW NONPARAMETRIC TESTS FOR LOCATION-SCALE TESTING IN A MIXED DESIGN}},
  author       = {Fouad Khalawi},
  journal      = {Advances and Applications in Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.17654/0972361726002},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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