On distinguishability of two nonparametric sets of hypothesis

DOI10.1016/S0167-7152(00)00007-9zbMath0959.62039OpenAlexW2056623094MaRDI QIDQ1573125

Mikhail Sergeevich Ermakov

Publication date: 2 May 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(00)00007-9

zbMATH Keywords

asymptotic efficiencysignal detectiondensity testing

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (3)

On consistent hypothesis testing ⋮ Nonparametric signal detection with small type I and type II error probabilities ⋮ On Asymptotic Minimaxity of Kernel-based Tests

Cites Work

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• Asymptotically minimax hypothesis testing for nonparametric alternatives. III
• Asymptotic equivalence of nonparametric regression and white noise
• Asymptotic equivalence of density estimation and Gaussian white noise
• Adaptive hypothesis testing using wavelets
• Asymptotic optimality of data-driven Neyman's tests for uniformity
• On the Minimax Detection of an Inaccurately Known Signal in a White Gaussian Noise Background
• On the Choice of the Number of Class Intervals in the Application of the Chi Square Test

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