Comparison of normal distribution–based and nonparametric decision limits on the GH‐2000 score for detecting growth hormone misuse (doping) in sport

DOI10.1002/bimj.202000019zbMath1523.62155OpenAlexW3202548017WikidataQ101463054 ScholiaQ101463054MaRDI QIDQ6067319

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Publication date: 16 November 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202000019

zbMATH Keywords

asymptotic distributionnonparametric methodstolerance intervalstolerance limitsdecision limitsGH-2000 scoregrowth hormone misuse detection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Normal probability plots with confidence
• Statistical Tolerance Regions: Theory, Applications, and Computation
• Asymptotic Statistics
• Statistical Intervals
• Simultaneous inference for several quantiles of a normal population with applications
• Non-Parametric Estimation II. Statistically Equivalent Blocks and Tolerance Regions--The Continuous Case
• An Extension of Wilks' Method for Setting Tolerance Limits

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