On adaptive statistical inferences

DOI10.1080/03610918208828404zbMath0498.62037OpenAlexW2062815645MaRDI QIDQ3963870

Robert V. Hogg

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918208828404

zbMATH Keywords

point estimationunbiased estimatorspeakednessBayesian approachadaptive inferenceskewedtail lengthadaptive distribution-free test procedure

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (4)

On the asymptotic behaviour of selector statistics ⋮ An Adaptive Test for the Two-Sample Location Problem Based onU-Statistics ⋮ Restrictive adaptive tests for the treatment of the two-sample scale problem ⋮ The professional contributions of robert v. hogg

Cites Work

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• Adaptive maximum likelihood estimators of a location parameter
• Do robust estimators work with real data?
• Asymptotically efficient adaptive rank estimates in location models
• The most powerful scale and location invariant test of the normal versus the double exponential
• Linear location estimators: the dependence of their quality on the shape of the probability density function, and their robustness
• An approximate method for generating asymmetric random variables
• Robust Estimates of Location: Symmetry and Asymmetric Contamination
• Efficiency-Robust Estimation of Location
• A Bayesian approach to the importance of assumptions applied to the comparison of variances

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