Results 271 to 280 of about 39,520 (292)
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Bootstrapping nonparametric estimators of the volatility function
Journal of Econometrics, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Franke, Jürgen +2 more
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On nondifferentiable functions and the bootstrap
Probability Theory and Related Fields, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On smoothed bootstrap for density functionals
Journal of Nonparametric Statistics, 2003We analyze, from both theoretical and practical point of view, the use of the smoothed bootstrap in the estimation of a functional T(f) of the underlying density. We consider a plug-in approach based on the use of an estimator of type T(fˆ n ) where fˆ n is a nonparametric (kernel) estimator of f.
Andrés M. Alonso, Antonio Cuevas
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Bootstrap confidence intervals for the mode of the hazard function
Computer Methods and Programs in Biomedicine, 2005In many applications of lifetime data analysis, it is important to perform inferences about the mode of the hazard function in situations of lifetime data modeling with unimodal hazard functions. For lifetime distributions where the mode of the hazard function can be analytically calculated, its maximum likelihood estimator is easily obtained from the ...
Josmar Mazucheli +2 more
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Bootstrapping the Empirical Distribution Function of a Spatial Process
Statistical Inference for Stochastic Processes, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Jun, Lahiri, S. N.
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On the Bootstrap Methodology for Functional Data
2004The current theory of statistics with functional data provides only a few results [21] of asymptotic validity for the bootstrap methodology. Roughly speaking, these validity results guarantee that the bootstrap versions of the sampling distribution of a statistic tend (as the sample size increases) to the same limit as the true sampling distributions ...
Antonio Cuevas, Ricardo Fraiman
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Higher — order accuracy of bootstrap for smooth functionals
1992We come now back to bootstrap of smooth statistical functionals. In Chapter 1 we have studied under which conditions bootstrap of smooth functionals works. In this chapter we give a simple proof for the higher order accuracy of the bootstrap estimate for smooth functionals T.
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High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data
Journal of the American Statistical Association, 2023Zhenhua Lin, Hans-Georg Müller
exaly
An Empirical Test of Bootstrapping as a Method for Assessing Confidence in Phylogenetic Analysis
Systematic Biology, 1993David M Hillis +2 more
exaly