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Comparison of approaches for local testing with functional test statistics 利用功能测试统计进行局部测试的方法比较
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI: 10.1080/00949655.2024.2396992
Tomáš Mrkvička, Mari Myllymäki
{"title":"Comparison of approaches for local testing with functional test statistics","authors":"Tomáš Mrkvička, Mari Myllymäki","doi":"10.1080/00949655.2024.2396992","DOIUrl":"https://doi.org/10.1080/00949655.2024.2396992","url":null,"abstract":"Several new methods have been recently developed for the problem of domain selection when the test statistic is functional. That is, the aim is to distinguish between the two domains where the test...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251663","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
Variable selection and estimation for recurrent event model with covariates subject to measurement error 带有测量误差协变量的重复事件模型的变量选择和估计
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI: 10.1080/00949655.2024.2399174
Kaida Cai, Hua Shen, Xuewen Lu
{"title":"Variable selection and estimation for recurrent event model with covariates subject to measurement error","authors":"Kaida Cai, Hua Shen, Xuewen Lu","doi":"10.1080/00949655.2024.2399174","DOIUrl":"https://doi.org/10.1080/00949655.2024.2399174","url":null,"abstract":"This article focuses on variable selection in the Andersen–Gill model for recurrent event analysis, particularly when covariates are subject to measurement errors. We propose a comprehensive three-...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251650","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
Multivariate normality tests with two-step monotone missing data: a critical review with emphasis on the different methods of handling missing values 具有两步单调缺失数据的多变量正态性检验：以处理缺失值的不同方法为重点的重要综述
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI: 10.1080/00949655.2024.2399190
A. Tsatsi, A. Batsidis, P. Economou
{"title":"Multivariate normality tests with two-step monotone missing data: a critical review with emphasis on the different methods of handling missing values","authors":"A. Tsatsi, A. Batsidis, P. Economou","doi":"10.1080/00949655.2024.2399190","DOIUrl":"https://doi.org/10.1080/00949655.2024.2399190","url":null,"abstract":"Two-step monotone missing data is a special case of missing data that attracted the attention of researchers since it not only appears frequently in applications but also since under the hypothesis...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175560","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
Improved Liu-ridge-type estimates for the beta regression model 贝塔回归模型的改进型刘岭估计值
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI: 10.1080/00949655.2024.2396001
Mahmoud A. Abdel-Fattah
{"title":"Improved Liu-ridge-type estimates for the beta regression model","authors":"Mahmoud A. Abdel-Fattah","doi":"10.1080/00949655.2024.2396001","DOIUrl":"https://doi.org/10.1080/00949655.2024.2396001","url":null,"abstract":"The main objective of this paper is to introduce a new class of estimators for the ill-conditioned beta regression model. The new class, named the Liu-ridge-type (LRT), incorporates two shrinkage p...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175561","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
Depth for samples of sets with applications to testing equality in distribution of two samples of random sets 集合样本的深度，应用于测试两个随机集合样本分布的相等性
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-09-01 DOI: 10.1080/00949655.2024.2394898
Vesna Gotovac Ðogaš
{"title":"Depth for samples of sets with applications to testing equality in distribution of two samples of random sets","authors":"Vesna Gotovac Ðogaš","doi":"10.1080/00949655.2024.2394898","DOIUrl":"https://doi.org/10.1080/00949655.2024.2394898","url":null,"abstract":"This paper introduces several depths for random sets with possibly non-convex realisations, proposes ways to estimate the depths based on the samples and compares them with existing ones. The depth...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175559","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 spatial heteroscedasticity in mixed geographically weighted regression models 测试混合地理加权回归模型中的空间异方差性
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-08-23 DOI: 10.1080/00949655.2024.2386115
Si-Lian Shen, Wen-Lu Yan, Jian-Ling Cui
{"title":"Testing spatial heteroscedasticity in mixed geographically weighted regression models","authors":"Si-Lian Shen, Wen-Lu Yan, Jian-Ling Cui","doi":"10.1080/00949655.2024.2386115","DOIUrl":"https://doi.org/10.1080/00949655.2024.2386115","url":null,"abstract":"Spatial homoscedasticity of the error term is commonly assumed in mixed geographically weighted regression analysis. In many practical situations, however, rarely can we know a priori whether the e...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175562","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
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data 稳健脊回归中的加权受罚 m-估计器：在汽油消费数据中的应用
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-08-20 DOI: 10.1080/00949655.2024.2386391
Danish Wasim, Muhammad Suhail, Olayan Albalawi, Maha Shabbir
{"title":"Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data","authors":"Danish Wasim, Muhammad Suhail, Olayan Albalawi, Maha Shabbir","doi":"10.1080/00949655.2024.2386391","DOIUrl":"https://doi.org/10.1080/00949655.2024.2386391","url":null,"abstract":"The OLS and ridge regression (RR) estimators are adversely affected, when the problem of multicollinearity and y-direction outliers occur together. The robust ridge regression with penalized parame...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175593","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
Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach 具有不同组件的可修复系统中的冗余分配问题：基于模拟的优化方法
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-08-15 DOI: 10.1080/00949655.2024.2383722
Farhad Hadinejad, Maghsoud Amiri
{"title":"Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach","authors":"Farhad Hadinejad, Maghsoud Amiri","doi":"10.1080/00949655.2024.2383722","DOIUrl":"https://doi.org/10.1080/00949655.2024.2383722","url":null,"abstract":"The redundancy allocation problem (RAP) is one of the most commonly used approaches for improving the reliability of systems. In previous studies, to simplify the problem model and mathematical sol...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175563","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 new Kolmogorov-Smirnov test based on representative points in the exponential distribution family 基于指数分布族代表点的新的科尔莫哥洛夫-斯米尔诺夫检验
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-08-04 DOI: 10.1080/00949655.2024.2385687
Yangyi Zhang, Sirao Wang, Xiao Ke, Huajun Ye
{"title":"A new Kolmogorov-Smirnov test based on representative points in the exponential distribution family","authors":"Yangyi Zhang, Sirao Wang, Xiao Ke, Huajun Ye","doi":"10.1080/00949655.2024.2385687","DOIUrl":"https://doi.org/10.1080/00949655.2024.2385687","url":null,"abstract":"Hypothesis testing for the exponential distribution family consistently gains significant attentions from the statistical community, especially in situations characterized by small sample sizes. In...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929827","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
Bayesian inference for reliability of K-out-of-N: G repairable retrial systems with mixed standbys, switching failure and reboot delay K-out-of-N可靠性的贝叶斯推理：具有混合备用、切换故障和重启延迟的G可修复重试系统
IF 1.2 4区 数学
Journal of Statistical Computation and Simulation Pub Date : 2024-08-04 DOI: 10.1080/00949655.2024.2387244
Fang Luo, Linmin Hu, Rui Peng, Mingjia Li
{"title":"Bayesian inference for reliability of K-out-of-N: G repairable retrial systems with mixed standbys, switching failure and reboot delay","authors":"Fang Luo, Linmin Hu, Rui Peng, Mingjia Li","doi":"10.1080/00949655.2024.2387244","DOIUrl":"https://doi.org/10.1080/00949655.2024.2387244","url":null,"abstract":"Existing reliability studies on K-out-of-N: G repairable retrial systems with mixed standbys mainly consider the case where the standby switching is completely reliable and the repair time follows ...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929826","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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