Results 271 to 280 of about 130,284 (316)
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Journal of Cryptology, 2015
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Shai Halevi, Victor Shoup
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Shai Halevi, Victor Shoup
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Computational Statistics and Data Analysis, 2011
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Sarjinder Singh, Stephen A Sedory
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Sarjinder Singh, Stephen A Sedory
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IEEE Transactions on Automatic Control, 2006
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Mattias Aronsson +4 more
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Mattias Aronsson +4 more
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Infection Control & Hospital Epidemiology, 1994
Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient
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Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient
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Statistical Methodology, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Datta, Jyotishka, Ghosh, Jayanta K.
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Datta, Jyotishka, Ghosh, Jayanta K.
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Biometrika, 1992
Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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International Statistical Review / Revue Internationale de Statistique, 1992
Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
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Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
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