Antonio Martín Andrés,Pedro Femia Marzo
Antonio Martín Andrés
Positive predictive value and negative predictive value are two widely used parameters to assess the clinical usefulness of a medical diagnostic test. When there are two diagnostic tests, it is recommendable to make a comparative assessment...
Hend Gabr,Brian H Willis,Mohammed Baragilly
Hend Gabr
In this work, we introduce a nonparametric clustering stopping rule algorithm based on the spatial median. Our proposed method aims to achieve a balance between the homogeneity within the clusters and the heterogeneity between clusters. The...
Energy statistic-based modified information criterion for detecting the change in distribution [0.03%]
基于能量统计的改进信息准则检测分布变化
Joseph Njuki,Wei Ning
Joseph Njuki
In this article, a test to detect the change in the distribution of sequence of independent random variables is proposed. To achieve this, we exploit the relationship between properties of U-statistics and Energy statistics (forms of V-stat...
Developing optimal group acceptance sampling plans based on Weibull distribution with limited risks [0.03%]
基于韦伯分布和有限风险的最优组接受抽样计划的发展
M Naghizadeh Qomi,Muhammad Aslam
M Naghizadeh Qomi
Single and group sampling plans are conventional methods for assessing the quality of submitted lots of products. The group scheme is considered as more efficient than the single sampling plan with respect to cost and time to reach the fina...
A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South Korea [0.03%]
含时间结构的贝叶斯空间聚类系数模型及其在韩国甲型肝炎数据分析中的应用
Jaeseon Lee,Jungsoon Choi
Jaeseon Lee
Hepatitis A, a highly contagious and perilous viral liver infection, is globally widespread, with its data collected across spatial and temporal domains. Also, demographic and socioeconomic covariates, such as population density and per cap...
Extreme value theory for individuals control charts: a semiparametric approach to ensuring in-control performance [0.03%]
个体控制图的极值理论：确保正常状态下性的半参数方法
Hong-Ji Yang,Chung-I Li
Hong-Ji Yang
This study introduces a semiparametric method for designing individuals control charts in Phase I statistical process monitoring, aimed at ensuring guaranteed in-control performance. Motivated by the limitations of parametric and nonparamet...
Gilbert Kiprotich,Shikhar Tyagi,Pedro L Ramos
Gilbert Kiprotich
We introduce a Bayesian framework for survival analysis that integrates frailty and mixture modeling. In our approach, a mixture of two inverse Gaussian (MIG) distributions is used as the frailty variable for bivariate failure times. The pa...
A note on two novel easy-to-interpret feature effect measures for partial dependence plots in a classification setting [0.03%]
关于分类设置中部分依赖图的两个新颖且易于解释的特征效应度量的注记
Andreas Karlsson Rosenblad
Andreas Karlsson Rosenblad
Classification of observations into one of several distinct categories is a common task in applied statistics, traditionally performed using parametric statistical models such as logistic regression. These parametric models are, however, of...
Order-of-addition experiments for sequential adjacency relationship problems [0.03%]
序贯邻接关系问题的添加顺序试验法
Xinran Zhang,Ruonan Zheng,Min-Qian Liu et al.
Xinran Zhang et al.
Order-of-addition (OofA) experiments are widely utilized in diverse fields, such as industry and pharmacy. The two most commonly employed models are the pairwise ordering model and the component-position model. However, in certain experimen...
A data-analytics framework for exploring regression associations in multivariate categorical data of firefighters' PTSD [0.03%]
一种探索消防员 PTSD 多变量分类数据回归关联的数据分析框架
Saebom Jeon,Daeyoung Kim
Saebom Jeon
We propose a data-analytics framework for exploratory research that aims for a comprehensive understanding of potential associations in the survey data regarding firefighters' PTSD (Post-Traumatic Stress Disorder). The primary focus is to o...