Empirical likelihood has been found very useful in many different occasions. However, when applied directly to some more complicated statistics such as U-statistics, it runs into serious computational difficulties. In this paper, we introduce a so-called jackknife empirical likelihood (JEL) method. The new method is extremely simple to use in practice. In particular. the JEL is shown to be very effective in handling one and two-sample U-statistics. The JEL can be potentially useful for other nonlinear statistics
Skewness and kurtosis are measures used to describe shape characteristics of distributions. In this ...
Darba tēma ir Jackknife empīriskās ticamības metode un tās pielietojums U - statistikām. Parastā emp...
This document has been made available through Purdue e-Pubs, a service of the Purdue University Libr...
U-statistics generalizes the concept of mean of independent identically distributed (i.i.d.) random ...
Nonparametric statistical inference methods have become very popular in recent years and are the pre...
Empirical likelihood for general estimating equations is a method for testing hypothesis or construc...
Standard empirical likelihood for U-statistics is too computationally expensive due to the nonlinear...
In this dissertation, we investigate jackknife empirical likelihood methods motivated by recent stat...
Empirical likelihood (EL) is a nonparametric method inspired by the usual maximum likelihood. There ...
In the thesis, we consider the Cox regression model. We develop the jackknife empirical likelihood (...
Copulas are used to depict dependence among several random variables. Both parametric and non-parame...
AbstractIn this paper we propose a smoothed jackknife empirical likelihood method to construct confi...
Motivated by applications to goodness of fit U-statistics testing, the jackknife empirical likelihoo...
Since its introduction by Owen in [29, 30], the empirical likelihood method has been extensively inv...
Measuring economic inequality is a significant and meaningful topic in our social system. The Gini in...
Skewness and kurtosis are measures used to describe shape characteristics of distributions. In this ...
Darba tēma ir Jackknife empīriskās ticamības metode un tās pielietojums U - statistikām. Parastā emp...
This document has been made available through Purdue e-Pubs, a service of the Purdue University Libr...
U-statistics generalizes the concept of mean of independent identically distributed (i.i.d.) random ...
Nonparametric statistical inference methods have become very popular in recent years and are the pre...
Empirical likelihood for general estimating equations is a method for testing hypothesis or construc...
Standard empirical likelihood for U-statistics is too computationally expensive due to the nonlinear...
In this dissertation, we investigate jackknife empirical likelihood methods motivated by recent stat...
Empirical likelihood (EL) is a nonparametric method inspired by the usual maximum likelihood. There ...
In the thesis, we consider the Cox regression model. We develop the jackknife empirical likelihood (...
Copulas are used to depict dependence among several random variables. Both parametric and non-parame...
AbstractIn this paper we propose a smoothed jackknife empirical likelihood method to construct confi...
Motivated by applications to goodness of fit U-statistics testing, the jackknife empirical likelihoo...
Since its introduction by Owen in [29, 30], the empirical likelihood method has been extensively inv...
Measuring economic inequality is a significant and meaningful topic in our social system. The Gini in...
Skewness and kurtosis are measures used to describe shape characteristics of distributions. In this ...
Darba tēma ir Jackknife empīriskās ticamības metode un tās pielietojums U - statistikām. Parastā emp...
This document has been made available through Purdue e-Pubs, a service of the Purdue University Libr...