(Q61311280)

English

The Jackknife and the Bootstrap for General Stationary Observations

scientific article published in 1989

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title

The Jackknife and the Bootstrap for General Stationary Observations (English)

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1

Hans R. Künsch

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language of work or name

English

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publication date

September 1989

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number of pages

25

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published in

Annals of Statistics

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volume

17

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page(s)

1217-1241

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issue

3

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maintained by WikiProject

WikiProject Mathematics

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cites work

Some Asymptotic Theory for the Bootstrap

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General M-Estimates for Contaminated p th-Order Autoregressive Processes: Consistency and Asymptotic Normality

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The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence

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Robust Interval Estimation of the Innovation Variance of an ARMA Model

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On U-Statistics and v. Mises' Statistics for Weakly Dependent Processes

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Bootstrap Methods: Another Look at the Jackknife

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Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

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On Bootstrapping Two-Stage Least-Squares Estimates in Stationary Linear Models

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The Behavior of Robust Estimators on Dependent Data

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Parameter estimation for a stationary process on a d-dimensional lattice

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Infinitesimal Robustness for Autoregressive Processes

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Influence Functionals for Time Series

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On the Asymptotic Accuracy of Efron's Bootstrap

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Estimation in nonlinear time series models

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Identifiers

DOI

10.1214/AOS/1176347265

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JSTOR article ID

2241719

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Mathematical Reviews ID

1015147

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zbMATH Open document ID

0684.62035

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(Q61311280)

The Jackknife and the Bootstrap for General Stationary Observations

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