On distinguishability of two nonparametric sets of hypothesis
type: Item
instance of: scholarly article
title: On distinguishability of two nonparametric sets of hypothesis
zbMATH Open document ID: 0959.62039
DOI: 10.1016/S0167-7152(00)00007-9
published in: Statistics \& Probability Letters
publication date: 2001-05-02T00:00:00Z
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 1486961
zbMATH Keywords: density testing
zbMATH Keywords: asymptotic efficiency
zbMATH Keywords: signal detection
author: Mikhail Sergeevich Ermakov
MaRDI profile type: Publication
cites work: Asymptotic equivalence of nonparametric regression and white noise
cites work: On the Minimax Detection of an Inaccurately Known Signal in a White Gaussian Noise Background
cites work: Q3212157
cites work: Asymptotic optimality of data-driven Neyman's tests for uniformity
cites work: Asymptotically minimax hypothesis testing for nonparametric alternatives. III
cites work: On the Choice of the Number of Class Intervals in the Application of the Chi Square Test
cites work: Asymptotic equivalence of density estimation and Gaussian white noise
cites work: Adaptive hypothesis testing using wavelets
cites work: Q3239659
full work available at URL: s0167-7152(00)00007-9
OpenAlex ID: W2056623094
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description: scientific article; zbMATH DE number 1486961