Data driven smooth test for contaminated data

DOI10.1080/15598608.2011.10483740zbMath1420.62207OpenAlexW2068185174MaRDI QIDQ2324173

Denys Pommeret

Publication date: 13 September 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2011.10483740

zbMATH Keywords

bootstraporthogonal polynomialscontaminated dataquasi Monte Carlodata driven testmultivariate sample

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of parametric tests (62F05)

Related Items (1)

A two-sample test when data are contaminated

Cites Work

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• Data driven smooth test for paired populations
• On the optimal rates of convergence for nonparametric deconvolution problems
• Density testing in a contaminated sample
• Fourier methods for estimating mixing densities and distributions
• Bootstrap bandwidth selection in kernel density estimation from a contaminated sample
• Lancaster probabilities
• Optimal Rates of Convergence for Deconvolving a Density
• Data-Driven Version of Neyman's Smooth Test of Fit
• Consistent deconvolution in density estimation
• Non-Parametric Confidence Bands in Deconvolution Density Estimation
• Polynomial Expansions of Bivariate Distributions
• Data-driven efficient score tests for deconvolution hypotheses

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