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August 15, 2025Hacettepe Journal of Mathematics and StatisticsOpen Access

Exploring ANCOVA models with bimodal error structures

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Authors

NÇNuri ÇelikSNSaraless Nadarajah

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Overview

This analysis reveals robust hypothesis testing with maximum likelihood methods in ANCOVA models, suggesting greater efficiency than least squares.

Key Points

  • Maximum likelihood estimators showed greater efficiency compared to least squares estimators, enhancing hypothesis testing.
  • Simulation results indicated that the new test statistics derived from maximum likelihood estimators are more powerful.
  • Monte Carlo simulation studies evaluated the performance of the proposed estimators in various error structure conditions.
  • Two real-world datasets demonstrated the applicability and effectiveness of the modified ANCOVA methodology.

Cite This Study

Çelik et al. (2025) studied this question.

synapsesocial.com/papers/68af50a1ad7bf08b1ead8b55https://doi.org/10.15672/hujms.1613129
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