Constructing narrower confidence intervals by inverting adaptive tests

DOI10.1111/anzs.12251zbMath1420.62213OpenAlexW2913607715WikidataQ128482534 ScholiaQ128482534MaRDI QIDQ5234440

Thomas W. O'Gorman

Publication date: 26 September 2019

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12251

zbMATH Keywords

confidence intervalspermutation testsvariance reductiontest inversionrandomisations testsRobbins-Monro estimation

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15)

Related Items (1)

A method to reduce the width of confidence intervals by using a normal scores transformation

Uses Software

• R
• bootlib

Cites Work

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• Permutation methods: a basis for exact inference
• A Probability Distribution and Its Uses in Fitting Data
• An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model
• Confidence Intervals from Randomization Tests
• Using adaptive weighted least squares to reduce the lengths of confidence intervals
• Permutation Tests for Linear Models
• EMPIRICAL EVIDENCE FOR ADAPTIVE CONFIDENCE INTERVALS AND IDENTIFICATION OF OUTLIERS USING METHODS OF TRIMMING
• Adaptive Tests of Significance Using Permutations of Residuals with R and SAS®
• The Performance of Randomization Tests that Use Permutations of Independent Variables
• A Stochastic Approximation Method

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