A Comparison of Unimodality Based on Size of the Test Criterion
DOI:
https://doi.org/10.64060/JASRv2i33Keywords:
Modality Tests, Hartigan’s Dip Test, Silverman Bandwidth Test, Proportional Mass (PM) Test and Excess Mass (EM) Test, Size of the test, Monte Carlo Simulation TechniqueAbstract
Non-parametric modality tests are widely and frequently used in every field of life especially in Economics, Social Sciences, Sports Sciences, Medical Sciences, and Biological Sciences etc. Some tests for modality are used for parametric (depend upon any distribution) and some are used for non-parametric (distribution free tests). But this study discusses the four famous non-parametric tests for modality or multimodality (a) Hartigan Dip Test; (b) Silverman Bandwidth test; (c) Proportional Mass test (d); Excess Mass test. These tests are frequently used in the literature of statistics. Most of the studies used these tests for testing modality. But nobody in the available literature compared these tests on the basis of size. This study compares these tests on the basis of the size and finds that which of them is the best test and which of them is the worst test. In addition to size, this study also evaluates the power of these tests under four alternative bimodal scenarios using Monte Carlo simulations with 10,000 replications. The simulation procedure is described in detail with a step-by-step algorithm and a flowchart to ensure full reproducibility.
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Copyright (c) 2026 Rana Muhammad Imran Arshad , Sadaf Khan , Farrukh Jamal , Shahina Imran (Author)

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