A modified Spearman’s rho parameter-free test statistic for early detection of newly emerging phenomena

DOI10.1080/03610918.2019.1702211zbMath1489.62146OpenAlexW2998686256WikidataQ126527120 ScholiaQ126527120MaRDI QIDQ5866124

Agah Kozan, Halil Tanil

Publication date: 13 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1702211

zbMATH Keywords

exponential growthFréchet distributionempirical powerearly detectionparameter-free statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (1)

A nonparametric partially sequential test for early detection of newly emerging phenomena

Cites Work

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• Some Recent Results on Monitoring the Rate of a Rare Event
• Asymptotic Relative Efficiencies of Rank Tests for Trend Alternatives
• Records Tests for Trend in Location
• A Generalized Version of Foster and Stuart's d-statistic
• A Non Parametric Exact Test Based on the Number of Records for an Early Detection of Emerging Events: Illustration in Epidemiology
• A nonparametric test for trend based on initial ranks
• An Exact Test for Randomness in the Non-Parametric Case Based on Serial Correlation
• Nonparametric Tests Against Trend
• Time Series Significance Tests Based on Signs of Differences
• SOME QUICK SIGN TESTS FOR TREND IN LOCATION AND DISPERSION

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