A New Method for Constructing Approximate Confidence Intervals from M Estimates

DOI10.2307/2287402zbMath0424.62032OpenAlexW4248051164MaRDI QIDQ3859120

Dennis D. Boos

Publication date: 1980

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.4/3281

zbMATH Keywords

quantilest distributionapproximate confidence intervalsM estimatesestimates of location

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (7)

Nonparametric inference on the difference of location parameters of correlated variables from fragmentary samples ⋮ Optimal estimating functions, quasi-likelihood and statistical modelling ⋮ Sequential confidence intervals based on generalized m-statistics ⋮ Generalized Hodges-Lehmann estimators for the analysis of variance ⋮ Robust confidence intervals for the center of a symmetric distribution ⋮ Estimating functions for conditional inference: many nuisance parameter case ⋮ Estimating functions for repeated measures with incidental parameters

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