Using adaptive weighted least squares to reduce the lengths of confidence intervals

DOI10.2307/3316041zbMath1004.62024OpenAlexW2040806695MaRDI QIDQ4529336

Thomas W. O'Gorman

Publication date: 2 July 2002

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

Full work available at URL: https://doi.org/10.2307/3316041

zbMATH Keywords

adaptive testspermutation methodsprobability plotsRobbins-Monro search

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

Exact adaptive confidence intervals for linear regression coefficients ⋮ Constructing narrower confidence intervals by inverting adaptive tests

Cites Work

• A review of some adaptive statistical techniques
• A Two-Sample Adaptive Distribution-Free Test
• A Probability Distribution and Its Uses in Fitting Data
• Confidence Intervals from Randomization Tests
• Generating Monte Carlo Confidence Intervals by the Robbins-Monro Process
• EMPIRICAL EVIDENCE FOR ADAPTIVE CONFIDENCE INTERVALS AND IDENTIFICATION OF OUTLIERS USING METHODS OF TRIMMING

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