Empirical likelihood is widely used in many statistical problems. In this article, we provide a
review of the empirical likelihood method, due to its significant development in recent years …

Climate change is projected to create alterations in species distributions over the planet. The
common leopard (Panthera pardus) serves an important ecological function as a member of …

In statistics mean absolute deviation plays an important role in measuring spread of a data.
In this paper, we focus on using the jackknife, the adjusted and the extended jackknife …

For regression analysis of interval-censored failure time data, Zhang et al.(2005)[40]
proposed an estimating equation approach to fit linear transformation models. In this paper …

Climate change is predicted to result in elevational and latitudinal shifts in species
distributions. Among different taxa, high-elevation specialist species are likely to suffer the …

The categorical Gini correlation, ρ g, was proposed by Dang et al.(2021) to measure the
dependence between a categorical variable, Y, and a numerical variable, X. It has been …

The receiver operating characteristic (ROC) curve is a well-known measure of the
performance of a classification method. Interest may only pertain to a specific region of the …

A novel jackknife empirical likelihood method for constructing confidence intervals for
multiply robust estimators is proposed in the context of missing data. Under mild regularity …

Variance estimation is fundamental in the statistical inference. Due to the nonlinearity of the
variance estimator, Lin et al.[Jackknife empirical likelihood for the error variance in linear …

Variance estimation is a fundamental yet important problem in statistical modelling. In this
paper, we propose jackknife empirical likelihood (JEL) methods for the error variance in a …