Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation [0.03%]
基于空间自相关的科尔莫戈罗夫-斯米尔诺夫检验的修正及其在心脏PET图像配准中的应用
Wenjun Zheng,Hongjian Zhu,K Lance Gould et al.
Wenjun Zheng et al.
The principle of independence is a fundamental yet often disregarded assumption in statistical inference. It is observed that the implications of correlations, if not considered, can lead to a conservative estimation of Type I error in the ...
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset [0.03%]
具有PVF脆弱性项的非比例风险模型：在黑色素瘤数据集中的应用
Karen C Rosa,Vinicius F Calsavara,Francisco Louzada
Karen C Rosa
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constan...
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification [0.03%]
基于高维分类的尿源性挥发性有机化合物(VOCs)在前列腺癌诊断中的应用
George Ekow Quaye,Wen-Yee Lee,Elizabeth Noriega Landa et al.
George Ekow Quaye et al.
Early detection of prostate cancer is critical for successful treatment and survival. However, current diagnostic methods such as prostate-specific antigen (PSA) testing and digital rectal examination (DRE) have limitations in accuracy, spe...
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies [0.03%]
因果推断中的Mann-Whitney-Wilcoxon秩和检验的双重稳健估计量（观察性研究应用时）
Ruohui Chen,Tuo Lin,Lin Liu et al.
Ruohui Chen et al.
The Mann-Whitney-Wilcoxon rank sum test (MWWRST) is a widely used method for comparing two treatment groups in randomized control trials, particularly when dealing with highly skewed data. However, when applied to observational study data, ...
Kamal Rai,Patrick E Brown
Kamal Rai
We propose a model for multiple waves of an epidemic that decomposes the health outcome of interest into the sum of scaled skew normal curves. When applied to daily COVID-19 mortality in six regions (Japan, Italy, Belgium, Ontario, Texas, a...
A supervised weeding method to cluster high dimensional predictors with application to job market analysis [0.03%]
一种监督除草法用于高维预测变量聚类及其在就业市场分析中的应用
Yuyang Li,Jianxin Bi,Jingyuan Liu et al.
Yuyang Li et al.
The clustering of high-dimensional predictors draws increasing attention in various scientific areas, such as text mining and biological data analysis. In standard clustering procedures, when predictors are clustered, they only showcase the...
Soumen Dey,Ashis Kumar Chakraborty
Soumen Dey
Software testing is an important step in software development where inputs are administered repeatedly to detect bugs present in the software. In this paper, we have considered the estimation of total number of bugs and software reliability...
John R J Thompson
John R J Thompson
Understanding wildfire spread in Canada is critical to promoting forest health and protecting human life and infrastructure. Quantifying fire spread from noisy images, where change-point boundaries separate regions of fire, is critical to a...
Optimal double acceptance sampling plans based on truncated life tests for Tsallis q-exponential distributions [0.03%]
基于截尾寿命试验的Tsallis-q指数分布的最优双序验计划
M Naghizadeh Qomi,Arturo J Fernández
M Naghizadeh Qomi
Optimal double sampling plans for lot acceptance based on truncated life tests are derived by minimizing the expected sample size when the lifetime variable follows a Tsallis q-exponential distribution. The proposed test plans significantly...
The weighted sum of powers in mean for estimating a change point in linear processes with random coefficients [0.03%]
具有随机系数的线性过程中用于估计变化点的幂的加权和的平均值估算方法
Yi Wu,Wei Wang,Shipeng Wu et al.
Yi Wu et al.
Let { X i , 1 ≤ i ≤ n } be a sequence of linear process based on dependent random variables with random coefficients, which has a mean shift at an unknown location. The weighted sum of powers in mean (WSPM, for short) estimator...