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Simple and accurate one-sided inference based on a class of M-estimators

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Publication:2813931
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DOI10.1093/BIOMET/93.4.973zbMath1436.62074OpenAlexW2166148612MaRDI QIDQ2813931

Steven E. Stern

Publication date: 27 June 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/93.4.973


zbMATH Keywords

Monte Carlo simulationnuisance parameter\(M\)-estimationcumulantprofile likelihoodlocation-scale estimationnull hypothesis bootstrapone-sided \(p\)-valueone-sided confidence limitsigned root statistic


Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35) Bootstrap, jackknife and other resampling methods (62F40)


Related Items (4)

Bootstrap adjustments of signed scoring rule root statistics ⋮ Parametric Bootstrap Inference for Stratified Models With High-Dimensional Nuisance Specifications ⋮ Higher-order asymptotics for scoring rules ⋮ ROUTES TO HIGHER-ORDER ACCURACY IN PARAMETRIC INFERENCE







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