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Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset 带有 PVF 虚弱项的非比例危险模型:黑色素瘤数据集的应用
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-05-14 DOI: 10.1080/02664763.2024.2354443
Karen C. Rosa, V. Calsavara, Francisco Louzada
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引用次数: 0
Estimating software reliability using size-biased modelling 利用规模偏差建模估算软件可靠性
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-05-10 DOI: 10.1080/02664763.2024.2352751
Soumen Dey, Ashis Kumar Chakraborty
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 to...
软件测试是软件开发中的一个重要步骤,通过反复输入来检测软件中存在的错误。在本文中,我们考虑了软件测试的估算。
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引用次数: 0
MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural break 在可能存在结构性断裂的回归模型中,非限制性斯坦因规则估计器的 MSE 优越性
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-05-01 DOI: 10.1080/02664763.2024.2346346
Haifeng Xu, Akio Namba
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引用次数: 0
A supervised weeding method to cluster high dimensional predictors with application to job market analysis 应用于就业市场分析的高维预测因子聚类监督除草法
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-05-01 DOI: 10.1080/02664763.2024.2348634
Yuyang Li, Jianxin Bi, Jingyuan Liu, Ying Yang
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引用次数: 0
The weighted sum of powers in mean for estimating a change point in linear processes with random coefficients 用于估计随机系数线性过程中变化点的平均值幂的加权和
IF 1.5 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-04-29 DOI: 10.1080/02664763.2024.2346827
Yi Wu, Wei Wang, Shipeng Wu, Xuejun Wang
Let {Xi,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,...
假设{Xi,1≤i≤n}是一串基于随机系数的从属随机变量的线性过程,在未知位置有均值移动。均值幂的加权和(WSPM,...
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引用次数: 0
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions KCBC - 一种基于相关性的方法,利用双变量里普利 K 函数对超分辨率显微镜图像进行共聚焦分析
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-04-29 DOI: 10.1080/02664763.2024.2346828
Xueyan Liu, Stephan Komladzei, Clifford Guy
Motivated by the high demand for co-localization analysis methods for super-resolution microscopy images which are featured with nanoscale precise locational information of molecules, this paper es...
超分辨率显微镜图像具有纳米级分子精确定位信息,因此对共聚焦分析方法的需求很高。
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引用次数: 0
Review of the third edition of sampling: design and analysis 抽样:设计与分析》第三版回顾
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-04-29 DOI: 10.1080/02664763.2024.2346350
Emily Berg
Rising response rates, increasing prevalence of nonprobability samples, and new technologies have generated important challenges for survey sampling in recent years. Simultaneously, governmental an...
近年来,响应率的不断提高、非概率样本的日益普及以及新技术的出现给调查抽样带来了重大挑战。与此同时,政府和非政府组织也在积极推动调查抽样工作。
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引用次数: 0
On efficiency of locally D-optimal designs under heteroscedasticity and non-Gaussianity 论异方差和非高斯性条件下局部 D-最优设计的效率
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-04-29 DOI: 10.1080/02664763.2024.2346822
Xiao Zhang, Gang Shen
In the classical theory of locally optimal designs, which is developed within the framework of the center+error model, the most efficient design is the one based on MGLE, the maximum Gaussian likel...
在中心+误差模型框架下发展起来的局部最优设计经典理论中,最有效的设计是基于最大高斯似然法(MGLE)的设计。
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引用次数: 0
A principal-weighted penalized regression model and its application in economic modeling 主加权惩罚回归模型及其在经济建模中的应用
IF 1.5 4区 数学 Q2 Mathematics Pub Date : 2024-04-26 DOI: 10.1080/02664763.2024.2346343
Mingwei Sun, Murong Xu
This paper introduces a novel Principal-Weighted Penalized (PWP) regression model, designed for dimensionality reduction in large datasets without sacrificing essential information. This new model ...
本文介绍了一种新颖的主加权惩罚(PWP)回归模型,旨在降低大型数据集的维度,同时不牺牲基本信息。这种新模型 ...
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引用次数: 0
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification 基于尿液挥发性有机化合物 (VOC) 的前列腺癌诊断高维分类法
IF 1.5 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-04-26 DOI: 10.1080/02664763.2024.2346355
George Ekow Quaye, Wen-Yee Lee, Elizabeth Noriega Landa, Sabur Badmos, Kiana L. Holbrook, Xiaogang Su
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 examinat...
前列腺癌的早期发现对于成功治疗和生存至关重要。然而,目前的诊断方法,如前列腺特异性抗原(PSA)检测和数字直肠镜检查,对前列腺癌的早期诊断并不有效。
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引用次数: 0
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Journal of Applied Statistics
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