发布求助
文献互助 智能选刊 最新文献

Journal of Statistical Sciences最新文献

筛选
英文 中文
Double Penalized Mixed Effects Quantile Regression Modeling Using the Maximum Likelihood Approach 使用最大似然法建立双惩罚混合效应定量回归模型
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.2
Forouzan Jafari, M. Golalizadeh
{"title":"Double Penalized Mixed Effects Quantile Regression Modeling Using the Maximum Likelihood Approach","authors":"Forouzan Jafari, M. Golalizadeh","doi":"10.61186/jss.17.2.2","DOIUrl":"https://doi.org/10.61186/jss.17.2.2","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatio-Temporal Analysis Based on One-Sided Dynamic Principal Components 基于单边动态主成分的时空分析
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.7
Najmeh Rezaeerad, M. Khalafi, Mohsen Hoseinalizadeh, M. Azimmohseni
{"title":"Spatio-Temporal Analysis Based on One-Sided Dynamic Principal Components","authors":"Najmeh Rezaeerad, M. Khalafi, Mohsen Hoseinalizadeh, M. Azimmohseni","doi":"10.61186/jss.17.2.7","DOIUrl":"https://doi.org/10.61186/jss.17.2.7","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"13 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 Mean Residual of Records in the Geometric Random Record Model 论几何随机记录模型中记录的平均残差
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.6
Ali Khosravi Tanak, M. Fashandi, J. Ahmadi, M. Najafi
{"title":"On the Mean Residual of Records in the Geometric Random Record Model","authors":"Ali Khosravi Tanak, M. Fashandi, J. Ahmadi, M. Najafi","doi":"10.61186/jss.17.2.6","DOIUrl":"https://doi.org/10.61186/jss.17.2.6","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"220 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Flexible Closed Skew Normal Random Field to Analysis Skew Spatial Data 用灵活的封闭偏斜正态随机场分析偏斜空间数据
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.12
O. Karimi, Fatemeh Hosseini
{"title":"Flexible Closed Skew Normal Random Field to Analysis Skew Spatial Data","authors":"O. Karimi, Fatemeh Hosseini","doi":"10.61186/jss.17.2.12","DOIUrl":"https://doi.org/10.61186/jss.17.2.12","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"132 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-class Depth-based Classification for Multivariate Data 基于深度的多类多元数据分类
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.5
Sara Bayat, Sakineh Dehghan
{"title":"Multi-class Depth-based Classification for Multivariate Data","authors":"Sara Bayat, Sakineh Dehghan","doi":"10.61186/jss.17.2.5","DOIUrl":"https://doi.org/10.61186/jss.17.2.5","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"45 57","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian Estimation of Multi-Component Reliability Parameter Under Adaptive Hybrid Progressive Censoring 自适应混合渐进校正下的多成分可靠性参数贝叶斯估计
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.9
Fateme Sadat Mirsadooghi, A. Kohansal
{"title":"Bayesian Estimation of Multi-Component Reliability Parameter Under Adaptive Hybrid Progressive Censoring","authors":"Fateme Sadat Mirsadooghi, A. Kohansal","doi":"10.61186/jss.17.2.9","DOIUrl":"https://doi.org/10.61186/jss.17.2.9","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"143 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identification of Influential Observations for High-Dimensional Regression 识别影响高维回归的观测数据
Journal of Statistical Sciences Pub Date : 2024-02-01 DOI: 10.61186/jss.17.2.10
Nasrin Noori, Hossein Bevrani
{"title":"Identification of Influential Observations for High-Dimensional Regression","authors":"Nasrin Noori, Hossein Bevrani","doi":"10.61186/jss.17.2.10","DOIUrl":"https://doi.org/10.61186/jss.17.2.10","url":null,"abstract":"","PeriodicalId":518462,"journal":{"name":"Journal of Statistical Sciences","volume":"1031 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信