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Multiple observers ranked set samples for shrinkage estimators 收缩估计器的多观察者排序集合样本
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-16 DOI: 10.1080/02664763.2024.2317312
Andrew David Pearce, Armin Hatefi
{"title":"Multiple observers ranked set samples for shrinkage estimators","authors":"Andrew David Pearce, Armin Hatefi","doi":"10.1080/02664763.2024.2317312","DOIUrl":"https://doi.org/10.1080/02664763.2024.2317312","url":null,"abstract":"Ranked set sampling (RSS) is used as a powerful data collection technique for situations where measuring the study variable requires a costly and/or tedious process while the sampling units can be ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing predictive precision medicine models by exploiting real-world data using machine learning methods 使用机器学习方法，利用真实世界的数据开发预测性精准医疗模型
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-13 DOI: 10.1080/02664763.2024.2315451
Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis, Vassilis P. Plagianakos
{"title":"Developing predictive precision medicine models by exploiting real-world data using machine learning methods","authors":"Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis, Vassilis P. Plagianakos","doi":"10.1080/02664763.2024.2315451","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315451","url":null,"abstract":"Computational Medicine encompasses the application of Statistical Machine Learning and Artificial Intelligence methods on several traditional medical approaches, including biochemical testing which...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"44 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vector time series modelling of turbidity in Dublin Bay 都柏林湾浊度的矢量时间序列建模
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-11 DOI: 10.1080/02664763.2024.2315470
Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell
{"title":"Vector time series modelling of turbidity in Dublin Bay","authors":"Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher, Anthony Grey, Andrew Parnell","doi":"10.1080/02664763.2024.2315470","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315470","url":null,"abstract":"Turbidity is commonly monitored as an important water quality index. Human activities, such as dredging and dumping operations, can disrupt turbidity levels and should be monitored and analysed for...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"63 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Testing nonlinearity of heavy-tailed time series 重尾时间序列的非线性测试
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-11 DOI: 10.1080/02664763.2024.2315450
Jan G. De Gooijer
{"title":"Testing nonlinearity of heavy-tailed time series","authors":"Jan G. De Gooijer","doi":"10.1080/02664763.2024.2315450","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315450","url":null,"abstract":"A test statistic for nonlinearity of a given heavy-tailed time series process is constructed, based on the sub-sample stability of Gini-based sample autocorrelations. The finite-sample performance ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"49 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models 高维广义线性模型的最佳泊松子采样装饰得分
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-11 DOI: 10.1080/02664763.2024.2315467
Junhao Shan, Lei Wang
{"title":"Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models","authors":"Junhao Shan, Lei Wang","doi":"10.1080/02664763.2024.2315467","DOIUrl":"https://doi.org/10.1080/02664763.2024.2315467","url":null,"abstract":"For high-dimensional generalized linear models (GLMs) with massive data, this paper investigates a unified optimal Poisson subsampling scheme to conduct estimation and inference for prespecified lo...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"47 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimating effects of time-varying exposures on mortality risk 估算时变暴露对死亡风险的影响
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-09 DOI: 10.1080/02664763.2024.2313459
Trevor J. Thomson, X. Joan Hu, Bohdan Nosyk
{"title":"Estimating effects of time-varying exposures on mortality risk","authors":"Trevor J. Thomson, X. Joan Hu, Bohdan Nosyk","doi":"10.1080/02664763.2024.2313459","DOIUrl":"https://doi.org/10.1080/02664763.2024.2313459","url":null,"abstract":"Administrative databases have become an increasingly popular data source for population-based health research. We explore how mortality risk is associated with some health service utilization proce...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"13 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139752280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients 具有随机系数的零膨胀几何 INAR(1) 过程的估计和预测方法比较
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-02-05 DOI: 10.1080/02664763.2023.2301321
R. Nasirzadeh, H. Bakouch
{"title":"Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients","authors":"R. Nasirzadeh, H. Bakouch","doi":"10.1080/02664763.2023.2301321","DOIUrl":"https://doi.org/10.1080/02664763.2023.2301321","url":null,"abstract":"This study explores zero-inflated count time series models used to analyze data sets with characteristics such as overdispersion, excess zeros, and autocorrelation. Specifically, we investigate the...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"57 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails 利用多次循环学习优化文本预处理和文本分类的方法，在船舶经纪人电子邮件中的应用
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-01-30 DOI: 10.1080/02664763.2024.2307535
Grigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis
{"title":"A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails","authors":"Grigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis","doi":"10.1080/02664763.2024.2307535","DOIUrl":"https://doi.org/10.1080/02664763.2024.2307535","url":null,"abstract":"Optimizing text preprocessing and text classification algorithms is an important, everyday task in large organizations and companies and it usually involves a labor-intensive and time-consuming eff...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"181 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139584671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood 基于修正经验似然法的非参数 Shiryaev-Roberts 变点检测程序
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-01-23 DOI: 10.1080/02664763.2024.2307532
Peiyao Wang, Wei Ning
{"title":"Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood","authors":"Peiyao Wang, Wei Ning","doi":"10.1080/02664763.2024.2307532","DOIUrl":"https://doi.org/10.1080/02664763.2024.2307532","url":null,"abstract":"Sequential change-point analysis, which identifies a change of probability distribution in an infinite sequence of random observations, has important applications in many fields. A good method shou...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"3 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139584517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Bayesian approach for evaluating equivalence over multiple groups, and comparison with frequentist tost 评估多组等同性的贝叶斯方法以及与频数法的比较
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-01-12 DOI: 10.1080/02664763.2023.2297150
Jos Weusten, Ji Young Kim, Katherine Giacoletti, Jorge Vázquez, Plinio De los Santos
{"title":"A Bayesian approach for evaluating equivalence over multiple groups, and comparison with frequentist tost","authors":"Jos Weusten, Ji Young Kim, Katherine Giacoletti, Jorge Vázquez, Plinio De los Santos","doi":"10.1080/02664763.2023.2297150","DOIUrl":"https://doi.org/10.1080/02664763.2023.2297150","url":null,"abstract":"Manufacturing and testing of pharmaceutical products frequently occur in multiple facilities within a company’s network. It is of interest to demonstrate equivalence among the alternative testing/m...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"13 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139458967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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