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 Journal of Statistics and Management Systems cover
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Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

Under reporting of age by collegiate student athletes in India : A prevalence study using a mixture binary RRT model

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pp. 431–442Vol. 29Issue 4April 2026DOI: 10.47974/JSMS-1590XML
Received:
01 Oct 2025
Published Online:
25 Mar 2026
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1590
Pages:
431–442

Abstract

Age misrepresentation fundamentally undermines fairness and resource allocation within Indian sports. This study applies a   Mixture Binary Randomized Response Technique (RRT) among university athletes at the campus of a Delhi University college to estimate the true prevalence of age fraud while assessing trust in the method’s privacy guarantee. Using the direct-question approach anonymously, prevalence was found to be 0.300 (variance 0.000105), trust in RRT’s privacy protection was 0.750 (variance 0.002526), and the RRT- based estimated prevalence was 0.260606 (variance 0.005615). These findings reveal substantial sensitivity surrounding age fraud and strong acceptability of RRT’s privacy guarantees. The methodological advantages, practical implementation guidance, and policy relevance for integrating RRT into national anti-age fraud frameworks are discussed in depth.

Keywords

Subject Classifications

62D05

References

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