Add to ORKGThis book on statistical methods was first published in 1997 and has code on a supporting website
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statisti...
This thesis deals with the bootstrap method. Three decades after the seminal paper by Bradly Efron, ...
The Bootstrap is the most widely used resampling statistical method. This method becomes very popula...
This book contains 30 selected, refereed papers from an in- ternational conference on bootstrapping ...
Bootstrap methods provide a powerful approach to statistical data analysis, as they have more genera...
SIGLEAvailable from British Library Document Supply Centre- DSC:D79592 / BLDSC - British Library Doc...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Bootstrapping techniques have become increasingly popular in applied econometrics and other areas. T...
The bootstrap is a powerful non-parametric statistical technique for making probability-based infere...
The bootstrap, extensively studied during the last decade, has become a powerful tool in different a...
Given the wealth of literature on the topic supported by solutions to practical problems, we would e...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statisti...
This thesis deals with the bootstrap method. Three decades after the seminal paper by Bradly Efron, ...
The Bootstrap is the most widely used resampling statistical method. This method becomes very popula...
This book contains 30 selected, refereed papers from an in- ternational conference on bootstrapping ...
Bootstrap methods provide a powerful approach to statistical data analysis, as they have more genera...
SIGLEAvailable from British Library Document Supply Centre- DSC:D79592 / BLDSC - British Library Doc...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Bootstrapping techniques have become increasingly popular in applied econometrics and other areas. T...
The bootstrap is a powerful non-parametric statistical technique for making probability-based infere...
The bootstrap, extensively studied during the last decade, has become a powerful tool in different a...
Given the wealth of literature on the topic supported by solutions to practical problems, we would e...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statisti...
This thesis deals with the bootstrap method. Three decades after the seminal paper by Bradly Efron, ...