Bootstrapping the order selection test
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Publication:4551598
DOI10.1080/10485250108832881zbMath1044.62042OpenAlexW2124782516MaRDI QIDQ4551598
Jeffrey D. Hart, Suojin Wang, Chien-Feng Chen
Publication date: 2001
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250108832881
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Nonparametric statistical resampling methods (62G09)
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- Edgeworth expansion in regression models
- Bootstrap procedures under some non-i.i.d. models
- Testing goodness-of-fit in regression via order selection criteria
- Comparing nonparametric versus parametric regression fits
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- Jackknife, bootstrap and other resampling methods in regression analysis
- Bootstrap and wild bootstrap for high dimensional linear models
- One-Sided Cross-Validation
- Smoothing-based lack-of-fit tests: variations on a theme
- Testing lack of fit in multiple regression
- Testing the Fit of a Parametric Function
- Bootstrapping and empirical edgeworth expansions in multiple linear regression models
- Moment Inequalities for the Maximum Cumulative Sum
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