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Robust tests for equality of regression curves based on characteristic functions 基于特征函数的回归曲线相等性稳健检验
IF 1.9 4区 数学
Statistics Pub Date : 2024-08-08 DOI: 10.1080/02331888.2024.2379018
Graciela Boente, Juan Carlos Pardo-Fernández
{"title":"Robust tests for equality of regression curves based on characteristic functions","authors":"Graciela Boente, Juan Carlos Pardo-Fernández","doi":"10.1080/02331888.2024.2379018","DOIUrl":"https://doi.org/10.1080/02331888.2024.2379018","url":null,"abstract":"This paper focuses on the problem of testing the null hypothesis that the regression functions of several populations are equal under a general nonparametric homoscedastic regression model. It is w...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945287","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
Predicting future failures in generalized order statistics and related models 预测广义阶次统计和相关模型中的未来故障
IF 1.9 4区 数学
Statistics Pub Date : 2024-08-01 DOI: 10.1080/02331888.2024.2379612
Francesco Buono, Erhard Cramer, Jorge Navarro
{"title":"Predicting future failures in generalized order statistics and related models","authors":"Francesco Buono, Erhard Cramer, Jorge Navarro","doi":"10.1080/02331888.2024.2379612","DOIUrl":"https://doi.org/10.1080/02331888.2024.2379612","url":null,"abstract":"Quantile regression predictions are considered for generalized order statistics which extend results previously established for record values and order statistics. In order to derive the results, s...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"25 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945285","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 unified approach to the Pythagorean identity and projection theorem for a class of divergences based on M-estimations 基于 M 估计的一类分歧的勾股定理和投影定理的统一方法
IF 1.9 4区 数学
Statistics Pub Date : 2024-07-30 DOI: 10.1080/02331888.2024.2372596
Atin Gayen, Sayantan Roy, Aditi Kar Gangopadhyay
{"title":"A unified approach to the Pythagorean identity and projection theorem for a class of divergences based on M-estimations","authors":"Atin Gayen, Sayantan Roy, Aditi Kar Gangopadhyay","doi":"10.1080/02331888.2024.2372596","DOIUrl":"https://doi.org/10.1080/02331888.2024.2372596","url":null,"abstract":"Divergences that satisfy Pythagorean-type identity are found to be quite useful in statistical inference. Projection theorem of these divergences explores the associated inference problems through ...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"33 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867996","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
Robust and efficient estimation in ordinal response models using the density power divergence 利用密度幂发散对序数响应模型进行稳健高效的估计
IF 1.9 4区 数学
Statistics Pub Date : 2024-07-18 DOI: 10.1080/02331888.2024.2347329
Arijit Pyne, Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu
{"title":"Robust and efficient estimation in ordinal response models using the density power divergence","authors":"Arijit Pyne, Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu","doi":"10.1080/02331888.2024.2347329","DOIUrl":"https://doi.org/10.1080/02331888.2024.2347329","url":null,"abstract":" In real life, we frequently encounter ordinal variables depending upon independent covariates. The latent linear regression model is useful for modelling such data. One can find the model's parame...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"83 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141945286","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 approach to estimate parameters of the two-parameter Weibull distribution 估算双参数威布尔分布参数的新方法
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-26 DOI: 10.1080/02331888.2024.2353117
Mehmet Karahasan
{"title":"A new approach to estimate parameters of the two-parameter Weibull distribution","authors":"Mehmet Karahasan","doi":"10.1080/02331888.2024.2353117","DOIUrl":"https://doi.org/10.1080/02331888.2024.2353117","url":null,"abstract":"This study proposes a new approach to estimate the parameters of the two-parameter Weibull distribution in the case of complete (uncensored) or doubly Type II censored samples. The proposed estimat...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"69 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738341","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
Novel credibility approaches for Lorenz curve and Gini coefficient estimation 洛伦兹曲线和基尼系数估算的新型可信度方法
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-18 DOI: 10.1080/02331888.2024.2368246
Limin Wen, Ruyi Cao, Yi Zhang
{"title":"Novel credibility approaches for Lorenz curve and Gini coefficient estimation","authors":"Limin Wen, Ruyi Cao, Yi Zhang","doi":"10.1080/02331888.2024.2368246","DOIUrl":"https://doi.org/10.1080/02331888.2024.2368246","url":null,"abstract":"The Lorenz curve and Gini coefficient are prominent statistical tools used in various fields to measure income inequality, wealth distribution, and other distributions of resources within a populat...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"71 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502155","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
On the relation between data science and statistics 数据科学与统计学之间的关系
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-18 DOI: 10.1080/02331888.2024.2364687
Alexander Meister
{"title":"On the relation between data science and statistics","authors":"Alexander Meister","doi":"10.1080/02331888.2024.2364687","DOIUrl":"https://doi.org/10.1080/02331888.2024.2364687","url":null,"abstract":"There is an ongoing discussion on how data science relates to statistics with a wide range of different opinions on whether these areas are basically the same or that they might differ from each ot...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"76 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502156","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
Two-step online estimation and inference for expected shortfall regression with streaming data 利用流数据对预期短缺回归进行两步在线估计和推理
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-18 DOI: 10.1080/02331888.2024.2366952
Yajie Mi, Lei Wang
{"title":"Two-step online estimation and inference for expected shortfall regression with streaming data","authors":"Yajie Mi, Lei Wang","doi":"10.1080/02331888.2024.2366952","DOIUrl":"https://doi.org/10.1080/02331888.2024.2366952","url":null,"abstract":"Expected shortfall, is defined as the average over the tail below (or above) a certain quantile of a probability distribution. The expected shortfall regression (ESR) provides powerful tools for an...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"691 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502154","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
Safe machine learning 安全的机器学习
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-04 DOI: 10.1080/02331888.2024.2361481
Paolo Giudici
{"title":"Safe machine learning","authors":"Paolo Giudici","doi":"10.1080/02331888.2024.2361481","DOIUrl":"https://doi.org/10.1080/02331888.2024.2361481","url":null,"abstract":"The rapid development of artificial intelligence applications based on machine learning is creating not only many opportunities but also risks. The recent regulatory and political debate, at the in...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"3 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141255948","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 likelihood transfer learning for high-dimensional generalized linear models 高维广义线性模型的加权似然转移学习
IF 1.9 4区 数学
Statistics Pub Date : 2024-06-03 DOI: 10.1080/02331888.2024.2361861
Zhaolei Liu, Lu Lin
{"title":"Weighted likelihood transfer learning for high-dimensional generalized linear models","authors":"Zhaolei Liu, Lu Lin","doi":"10.1080/02331888.2024.2361861","DOIUrl":"https://doi.org/10.1080/02331888.2024.2361861","url":null,"abstract":"To simultaneously improve parameter estimation and variable selection for a target model by the auxiliary information from source models, a weighted likelihood transfer learning (WL-TL), together w...","PeriodicalId":54358,"journal":{"name":"Statistics","volume":"10 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141255744","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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