{"title":"The R2D2 prior for generalized linear mixed models","authors":"Eric Yanchenko, Howard D. Bondell, Brian J. Reich","doi":"10.1080/00031305.2024.2352010","DOIUrl":"https://doi.org/10.1080/00031305.2024.2352010","url":null,"abstract":"In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to plac...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"37 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914946","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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}