Confidence interval for the bootstrapP-value and sample size calculation of the bootstrap test

DOI10.1080/10485250902770035zbMath1165.62316OpenAlexW2032830874MaRDI QIDQ5321923

David J. Nott, Beechoo Tai, Jia-Liang Li

Publication date: 16 July 2009

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250902770035

zbMATH Keywords

nonparametric regressionbootstrap testsample size calculationP-valuesimulation variancebinomial confidence interval

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)

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Cites Work

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• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Bootstrap methods: another look at the jackknife
• Generalized likelihood ratio statistics and Wilks phenomenon
• Efficient estimation for semivarying-coefficient models
• Binomial Confidence Intervals
• Asymptotic Statistics
• Numerical Optimization
• A Three-step Method for Choosing the Number of Bootstrap Repetitions
• Designing Monte Carlo Implementations of Permutation or Bootstrap Hypothesis Tests
• Bootstrap Test for Difference Between Means in Nonparametric Regression
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
• Inferring climate system properties using a computer model

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