Nonparametric tolerance intervals controlling percentages in both tails and simultaneous testing of quantiles [0.03%]
无分布形式假设的容忍区间及同时检验量的容忍限研究
Gboyega Adepoju,K Krishnamoorthy
Gboyega Adepoju
The problem of constructing nonparametric equal-tailed tolerance intervals is considered. A method for finding minimum sample size required so that the rth order statistic and the largest rth order statistic form a p content- ( 1 - α )...
A gradient boosting decision tree based estimation method for the mixture cure model [0.03%]
基于梯度提升决策树的混合治愈模型估计方法
Jianing Zheng,Peizhi Li,Yingwei Peng
Jianing Zheng
Cure models are useful tools for analyzing censored survival data with a cured fraction. However, existing semiparametric estimation methods still rely on restrictive parametric assumptions, and existing nonparametric estimation methods onl...
Assessing the impact of neighborhood structures in Bayesian disease mapping [0.03%]
评估贝叶斯疾病制图中的邻里结构的影响
Minh Hanh Nguyen,Thomas Neyens,Andrew B Lawson et al.
Minh Hanh Nguyen et al.
In Bayesian disease mapping, defining the neighborhood structure is crucial when fitting the conditional auto-regressive model. Yet, there has been little assessment of how different structures affect the model performance in case of fine-s...
Samuel Sánchez-Gutiérrez,Juan Sosa,Carolina Luque
Samuel Sánchez-Gutiérrez
In this article, we make an innovative adaptation of a Bayesian latent space model based on projections in a novel way to analyze influence networks. By appropriately reparameterizing the model, we establish a formal metric for quantifying ...
Detection of a core-periphery structure in bipartite user-content networks based on modularity and Stochastic Block Model [0.03%]
基于模块化和随机块模型的二分用户-内容网络的核心-外围结构检测
Lorenzo Federico,Livia De Giovanni,Alessandro Chessa et al.
Lorenzo Federico et al.
In this paper, we study the patterns of interaction of the general audience with a sample of Italian Twitter accounts representing various organizations. We model the interaction between the audience and the content produced by each account...
Testing disease progression under the proportional reduction in decline in Alzheimer's disease studies [0.03%]
阿尔茨海默病研究中检验疾病进展的比例减退模型
Zhixin Tang,Aidong A Ding,Yahui Zhang et al.
Zhixin Tang et al.
To assess the treatment-placebo difference in Alzheimer's disease (AD) trials, saved time measure provides an easy interpretation of the treatment effect in months as an alternative measure to the treatment-placebo difference at the pre-spe...
Bradford distribution and its application in modeling medical data: a suitable alternative to distributions defined on the unit interval [0.03%]
布拉德福分布在医学数据分析中的应用及其作为区间定义分布的替代品的可能性
Indranil Ghosh
Indranil Ghosh
It has been observed that quite often, in health-related studies/clinical trials data, we frequently come across left/right skewed heavy-tailed survival data for which the available probability models from the existing literature are not ad...
Correction [0.03%]
改正
[This corrects the article DOI: 10.1080/02664763.2025.2606971.]. © 2026 Informa UK Limited, trading as Taylor & Francis Group.
Published Erratum
Journal of applied statistics. 2026 Feb 4;53(3):I-II. DOI:10.1080/02664763.2026.2624888 2026
Forecasting hourly foodservice sales during geopolitical and economical disruption using zero-inflated mixed effects models [0.03%]
基于零膨胀混合效应模型的地理政治和经济动荡时期的餐饮销售小时预测
Nathan A Judd,Kalliopi Mylona,Haiming Liu et al.
Nathan A Judd et al.
Accurate predictions of product sales are essential to the foodservice sector, for planning and saving of resources. In this paper, a zero-inflated negative binomial mixed-effects model with several factors was used to predict the total sal...
Tuğba Aktaş Aslan,Başak Bulut Karageyik
Tuğba Aktaş Aslan
Effective risk management in actuarial science requires precise modeling of claim severity, particularly for heavy-tailed distributions that capture extreme losses. This study investigates the applicability of the Tempered Stable Subordinat...