Pub Date : 2024-08-08DOI: 10.1080/02331888.2024.2379018
Graciela Boente, Juan Carlos Pardo-Fernández
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...
本文主要探讨了在一般非参数同方差回归模型下检验几个种群的回归函数是否相等的零假设问题。它...
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Pub Date : 2024-08-01DOI: 10.1080/02331888.2024.2379612
Francesco Buono, Erhard Cramer, Jorge Navarro
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...
{"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}
Pub Date : 2024-07-30DOI: 10.1080/02331888.2024.2372596
Atin Gayen, Sayantan Roy, Aditi Kar Gangopadhyay
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 ...
满足勾股定理类型特征的发散在统计推断中非常有用。这些发散的投影定理通过...
{"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}
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...
{"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}
Pub Date : 2024-06-26DOI: 10.1080/02331888.2024.2353117
Mehmet Karahasan
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...
本研究提出了一种新方法，用于估计完全（无删失）或双重 II 型删失样本情况下的双参数 Weibull 分布参数。所提出的估算...
{"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}
Pub Date : 2024-06-18DOI: 10.1080/02331888.2024.2368246
Limin Wen, Ruyi Cao, Yi Zhang
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...
{"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}
Pub Date : 2024-06-18DOI: 10.1080/02331888.2024.2364687
Alexander Meister
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...
{"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}
Pub Date : 2024-06-18DOI: 10.1080/02331888.2024.2366952
Yajie Mi, Lei Wang
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...
{"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}
Pub Date : 2024-06-04DOI: 10.1080/02331888.2024.2361481
Paolo Giudici
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...
{"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}
Pub Date : 2024-06-03DOI: 10.1080/02331888.2024.2361861
Zhaolei Liu, Lu Lin
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...
{"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}
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