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Central Limit Theory for Kernel-Self Normalized Tail-Trimmed Sums of Dependent, Heterogeneous Data with Applications
Jonathan B. Hill
Type:
Article
Publication Date:
2011-01-01
Citations:
2
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Independent and stationary sequences of random variables
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Center, Scale and Asymptotic Normality for Censored Sums of Independent, Nonidentically Distributed Random Variables
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On the Nonparametric Estimation of Covariance Functions
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The Metrically Trimmed Mean as a Robust Estimator of Location
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Simon Newcomb, Percy Daniell, and the History of Robust Estimation 1885–1920
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Asymptotic Behavior Of Self-Normalized Trimmed Sums: Nonnormal Limits III
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On Some Analogues to Linear Combinations of Order Statistics in the Linear Model
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Peter J. Bickel
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On the limit distributions of lightly trimmed sums
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