A minimum variance adaptive technique for parameter estimation and hypothesis testing

DOI10.1080/03610919908813586zbMath0968.62510OpenAlexW2017885631WikidataQ57715396 ScholiaQ57715396MaRDI QIDQ4488753

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Publication date: 9 July 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919908813586

Mathematics Subject Classification ID

Cites Work

• Bootstrap choice of tuning parameters
• Simulated power functions
• Bootstrap methods: another look at the jackknife
• A review of some adaptive statistical techniques
• An adaptive and powerful randomization test
• Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory
• Robust regression using iteratively reweighted least-squares
• Two Robust Alternatives to Least-Squares Regression
• Robust Estimation of a Location Parameter
• The 1972 Wald Lecture Robust Statistics: A Review
• Norms for Smoothing and Estimation
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