American Statistician最新文献

筛选
英文 中文
A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient 利用已知平均相关系数生成相关矩阵的简单快速算法
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350449
Niels G. Waller
{"title":"A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient","authors":"Niels G. Waller","doi":"10.1080/00031305.2024.2350449","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350449","url":null,"abstract":"This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R m...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914888","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
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion 罕见事件的二项式置信区间:定义相对于比例大小的误差幅度的重要性
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350445
Owen McGrath, Kevin Burke
{"title":"Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion","authors":"Owen McGrath, Kevin Burke","doi":"10.1080/00031305.2024.2350445","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350445","url":null,"abstract":"Confidence interval performance is typically assessed in terms of two criteria: coverage probability and interval width (or margin of error). In this paper, we assess the performance of four common...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140915034","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
Analyzing Matched 2 × 2 Tables from all Corners 从所有角分析匹配的 2 × 2 表
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350452
Marc Aerts, Geert Molenberghs
{"title":"Analyzing Matched 2 × 2 Tables from all Corners","authors":"Marc Aerts, Geert Molenberghs","doi":"10.1080/00031305.2024.2350452","DOIUrl":"https://doi.org/10.1080/00031305.2024.2350452","url":null,"abstract":"Squared 2 × 2 tables with binary data from matched pairs are typically analysed using Cochran-Mantel-Haenszel methodology, conditional logistic regression, or random intercepts logistic regression....","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907405","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
Telling Stories with Data: With Applications in R 用数据讲故事:附带 R 应用程序
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-23 DOI: 10.1080/00031305.2024.2339562
Piotr Fryzlewicz
{"title":"Telling Stories with Data: With Applications in R","authors":"Piotr Fryzlewicz","doi":"10.1080/00031305.2024.2339562","DOIUrl":"https://doi.org/10.1080/00031305.2024.2339562","url":null,"abstract":"Published in The American Statistician (Ahead of Print, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140648749","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
An Introduction to R and Python for Data Analysis: A Side-by-Side Approach. R 和 Python 数据分析入门:并行方法》。
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2320949
Gabriel Wallin
{"title":"An Introduction to R and Python for Data Analysis: A Side-by-Side Approach.","authors":"Gabriel Wallin","doi":"10.1080/00031305.2024.2320949","DOIUrl":"https://doi.org/10.1080/00031305.2024.2320949","url":null,"abstract":"Published in The American Statistician (Vol. 78, No. 2, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140607805","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 Point Estimators for Gamma and Beta Distributions 关于伽马分布和贝塔分布的点估计器
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2332766
Nickos D. Papadatos
{"title":"On Point Estimators for Gamma and Beta Distributions","authors":"Nickos D. Papadatos","doi":"10.1080/00031305.2024.2332766","DOIUrl":"https://doi.org/10.1080/00031305.2024.2332766","url":null,"abstract":"Let X1,…,Xn be a random sample from the gamma distribution with density f(x)=λαxα−1e−λx/Γ(α), x > 0, where both α>0 (the shape parameter) and λ>0 (the reciprocal scale parameter) are unknown. The m...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140607773","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
Statistical Theory: A Concise Introduction, 2nd ed. 统计理论:统计理论:简明导论》,第 2 版。
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2325704
Juan Sosa
{"title":"Statistical Theory: A Concise Introduction, 2nd ed.","authors":"Juan Sosa","doi":"10.1080/00031305.2024.2325704","DOIUrl":"https://doi.org/10.1080/00031305.2024.2325704","url":null,"abstract":"Published in The American Statistician (Ahead of Print, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603578","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
Deep Learning and Scientific Computing with R torch 使用 R torch 进行深度学习和科学计算
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2320219
Yang Ni
{"title":"Deep Learning and Scientific Computing with R torch","authors":"Yang Ni","doi":"10.1080/00031305.2024.2320219","DOIUrl":"https://doi.org/10.1080/00031305.2024.2320219","url":null,"abstract":"Published in The American Statistician (Vol. 78, No. 2, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140607766","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
Introduction to Statistical Modelling and Inference 统计建模与推理入门
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2326662
Nianpin Cheng, Beth Chance
{"title":"Introduction to Statistical Modelling and Inference","authors":"Nianpin Cheng, Beth Chance","doi":"10.1080/00031305.2024.2326662","DOIUrl":"https://doi.org/10.1080/00031305.2024.2326662","url":null,"abstract":"Published in The American Statistician (Ahead of Print, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603612","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
Boldness-Recalibration for Binary Event Predictions 二进制事件预测的魄力-再校准
IF 1.8 4区 数学
American Statistician Pub Date : 2024-04-04 DOI: 10.1080/00031305.2024.2339266
Adeline P. Guthrie, Christopher T. Franck
{"title":"Boldness-Recalibration for Binary Event Predictions","authors":"Adeline P. Guthrie, Christopher T. Franck","doi":"10.1080/00031305.2024.2339266","DOIUrl":"https://doi.org/10.1080/00031305.2024.2339266","url":null,"abstract":"Probability predictions are essential to inform decision making across many fields. Ideally, probability predictions are (i) well calibrated, (ii) accurate, and (iii) bold, i.e., spread out enough ...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346098","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
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
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