Forecasting a time series of Lorenz curves: one-way functional analysis of variance [0.03%]
洛伦兹曲线时间序列的预测：单向函数方差分析
Han Lin Shang
Han Lin Shang
The Lorenz curve is a fundamental tool for analysing income and wealth distribution and inequality at national and regional levels. We utilise a one-way functional analysis of variance to decompose a time series of Lorenz curves and develop...
Estimation of quantile versions of the Lorenz curve and the Gini index for the generalized Pareto distribution [0.03%]
广义Pareto分布的洛伦兹曲线和基尼指数的分位数估计方法
Alicja Jokiel-Rokita,Agnieszka Siedlaczek
Alicja Jokiel-Rokita
This paper concerns the estimation of quantile versions of the Lorenz curve and the Gini index in the case of the generalized Pareto distribution. These curves and indices, unlike the Lorenz curve and the Gini index, are also defined for di...
LPRE estimation for functional multiplicative model and optimal subsampling [0.03%]
函数型加性模型的LPRE估计及其最优亚抽样方法
Qian Yan,Hanyu Li
Qian Yan
In this paper, we study the functional linear multiplicative model based on the least product relative error criterion. Under some regularization conditions, we establish the consistency and asymptotic normality of the estimator. Further, w...
Identifying outlying groups through residual analysis and its application to healthcare expenditure [0.03%]
基于残差分析的异常组检测及其在卫生费用分析中的应用
Hyukdong Kwon,Jihnhee Yu,Mingliang Li
Hyukdong Kwon
Traditional regression analysis primarily aims to describe the overall relationship between variables, often overlooking unexplainable aspects by design. Our focus is on these unexplained aspects, leveraging them to identify disparity group...
Multivariate meta-analysis with a robustified diagonal likelihood function [0.03%]
一种鲁棒的对角似然函数在线性混合模型中的应用
Zongliang Hu,Qianyu Zhou,Guanfu Liu
Zongliang Hu
Multivariate meta-analysis is an efficient tool to analyze multivariate outcomes from independent studies, with the advantage of accounting for correlations between these outcomes. However, existing methods are sensitive to outliers in the ...
New strategies for detecting atypical observations based on the information matrix equality [0.03%]
基于信息矩阵相等性的检测异常观测的新策略
Francisco Cribari-Neto,Klaus L P Vasconcellos,José J Santana-E-Silva
Francisco Cribari-Neto
Diagnostic analyses in regression modeling are usually based on residuals or local influence measures and are used for detecting atypical observations. We develop a new approach for identifying such observations when the parameters of the m...
Order selection in GARMA models for count time series: a Bayesian perspective [0.03%]
计数时间序列的GARMA模型订单选择：贝叶斯视角
Katerine Zuniga Lastra,Guilherme Pumi,Taiane Schaedler Prass
Katerine Zuniga Lastra
Estimation in GARMA models has traditionally been carried out under the frequentist approach. To date, Bayesian approaches for such estimation have been relatively limited. In the context of GARMA models for count time series, Bayesian esti...
Learning causal effect of physical activity distribution: an application of functional treatment effect estimation with unmeasured confounding [0.03%]
体力活动分布因果效应的学习：具未测量混杂因素的功能性处理效果估计的应用
Zhuoxin Long,Xiaoke Zhang
Zhuoxin Long
The National Health and Nutrition Examination Survey (NHANES) collects minute-level physical activity data by accelerometers as an important component of the survey to assess the health and nutritional status of adults and children in the U...
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts [0.03%]
具有信息丢失的纵向计数数据的零膨胀泊松混合模型
Sanjoy K Sinha
Sanjoy K Sinha
Zero-inflated Poisson (ZIP) models are typically used for analyzing count data with excess zeros. If the data are collected longitudinally, then repeated observations from a given subject are correlated by nature. The ZIP mixed model may be...
Calibrating a simulated exposure distribution using measurement error models [0.03%]
利用测量误差模型校准模拟暴露分布
Jiwoong Yu,Xueyan Zheng,Kwan-Young Bak et al.
Jiwoong Yu et al.
Indirect exposure assessment based on average environmental concentrations in microenvironments and time spent in each environment has been considered an important way of assessing personal exposure to air pollutants. Using this indirect ap...