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The R2D2 prior for generalized linear mixed models 广义线性混合模型的 R2D2 先验
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-09 DOI: 10.1080/00031305.2024.2352010
Eric Yanchenko, Howard D. Bondell, Brian J. Reich
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引用次数: 0
The Best Time to Play the Lottery 玩彩票的最佳时机
IF 1.8 4区 数学
American Statistician Pub Date : 2024-05-07 DOI: 10.1080/00031305.2024.2351999
Christopher M. Rump
{"title":"The Best Time to Play the Lottery","authors":"Christopher M. Rump","doi":"10.1080/00031305.2024.2351999","DOIUrl":"https://doi.org/10.1080/00031305.2024.2351999","url":null,"abstract":"The best time to play the lottery is when the jackpot has rolled over several times and grown large, but not so large that you must share the prize if you win. We examine maximizing the expected va...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"14 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907424","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 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":"2014 1","pages":""},"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":"43 1","pages":""},"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":"425 1","pages":""},"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":"105 1","pages":""},"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":"32 1","pages":""},"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":"30 1","pages":""},"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":"39 1","pages":""},"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":"10 1","pages":""},"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
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