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New ASA Fellows — 1964
Authors:Daniel G Seigel
Institution:1. Biometry Branch , Nat. Inst. of Child Health &2. Human Development , Bethesda , MD , 20014 , USA
Abstract:This is an invited expository article for The American Statistician. It reviews the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule. The presentation is written at a relaxed mathematical level, omitting most proofs, regularity conditions, and technical details.
Keywords:Bias estimation  Variance estimation  Nonparametric standard errors  Nonparametric confidence intervals  Error rate prediction
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