Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
Biometrika · 1981 · 1.4K citations · 14 references
Point EstimateEngineeringBootstrap ResamplingEstimation StatisticStandard ErrorStatistical FoundationSeveral Nonparametric MethodsEconometricsBiostatisticsRobust StatisticsStatistical InferenceOther MethodsEstimation TheoryNonparametric EstimatesStatisticsSemi-nonparametric Estimation
We discuss several nonparametric methods for attaching a standard error to a point estimate: the jackknife, the bootstrap, half-sampling, subsampling, balanced repeated replications, the infinitesimal jackknife, influence function techniques and the delta method. The last three methods are shown to be identical. All the methods derive from the same basic idea, which is also the idea underlying the common parametric methods. Extended numerical comparisons are made for the special case of the correlation coefficient.
14
Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979
17.1K citations
Continuous Univariate Distributions.
Yasuhiro Omori, Norman L. Johnson, S. Kotz et al. · Journal of the American Statistical Association · 1995
Pareto DistributionsWeibull DistributionsContinuous Distributions+8
9.2K citations
The Influence Curve and its Role in Robust Estimation
Frank R. Hampel · Journal of the American Statistical Association · 1974
Parameter EstimationEngineeringRobustness (Computer Science)+17
2.4K citations
The Jackknife Estimate of Variance
B. Efron, C. Stein · The Annals of Statistics · 1981
Symmetric FunctionEstimation TheoryAnova-like Decomposition+9
1.4K citations
Rupert G. Miller · Biometrika · 1974
1.4K citations