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Invariant measures of disagreement with stochastic dominance* 随机优势不一致的不变测度*
IF 1.8 4区 数学
American Statistician Pub Date : 2025-09-04 DOI: 10.1080/00031305.2025.2554737
E. del Barrio, J.A. Cuesta-Albertos, C. Matrán
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引用次数: 0
Interpretable Model Summaries Using the Wasserstein Distance 使用Wasserstein距离的可解释模型摘要
IF 1.8 4区 数学
American Statistician Pub Date : 2025-09-02 DOI: 10.1080/00031305.2025.2551223
Eric Dunipace, Lorenzo Trippa
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引用次数: 0
Conceptualizing experimental controls using the potential outcomes framework 使用潜在结果框架概念化实验控制
IF 1.8 4区 数学
American Statistician Pub Date : 2025-09-02 DOI: 10.1080/00031305.2025.2554756
Kristen Hunter, Kristen Koenig, Marie-Abèle Bind
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引用次数: 0
Simplifying Random Forests’ Probabilistic Forecasts* 简化随机森林的概率预测*
IF 1.8 4区 数学
American Statistician Pub Date : 2025-09-02 DOI: 10.1080/00031305.2025.2552284
Nils Koster, Fabian Krüger
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引用次数: 0
The Effects of Major League Baseball’s Ban on Infield Shifts: A Quasi-Experimental Analysis 美国职棒大联盟禁赛对内野移位的影响：一项准实验分析
IF 1.8 4区 数学
American Statistician Pub Date : 2025-08-28 DOI: 10.1080/00031305.2025.2552283
Lee Kennedy-Shaffer
{"title":"The Effects of Major League Baseball’s Ban on Infield Shifts: A Quasi-Experimental Analysis","authors":"Lee Kennedy-Shaffer","doi":"10.1080/00031305.2025.2552283","DOIUrl":"https://doi.org/10.1080/00031305.2025.2552283","url":null,"abstract":"","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"22 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910964","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 CONSISTENT IMPUTATION OF MISSING PREDICTORS IN LINEAR REGRESSION MODELS 线性回归模型中缺失预测因子的一致性拟合
IF 1.8 4区 数学
American Statistician Pub Date : 2025-08-25 DOI: 10.1080/00031305.2025.2551215
David Oakes
{"title":"ON CONSISTENT IMPUTATION OF MISSING PREDICTORS IN LINEAR REGRESSION MODELS","authors":"David Oakes","doi":"10.1080/00031305.2025.2551215","DOIUrl":"https://doi.org/10.1080/00031305.2025.2551215","url":null,"abstract":"","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"17 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900177","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
Applications of Regression for Categorical Outcomes Using R. 回归在分类结果中的应用
IF 1.8 4区 数学
American Statistician Pub Date : 2025-08-25 DOI: 10.1080/00031305.2025.2551214
Maria Tackett
{"title":"Applications of Regression for Categorical Outcomes Using R.","authors":"Maria Tackett","doi":"10.1080/00031305.2025.2551214","DOIUrl":"https://doi.org/10.1080/00031305.2025.2551214","url":null,"abstract":"","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"19 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900179","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
Laplace's law of succession estimator and M-statistics. 拉普拉斯演替估计量和m统计量。
IF 2.1 4区 数学
American Statistician Pub Date : 2025-08-01 Epub Date: 2025-02-25 DOI: 10.1080/00031305.2024.2448430
Eugene Demidenko
{"title":"Laplace's law of succession estimator and M-statistics.","authors":"Eugene Demidenko","doi":"10.1080/00031305.2024.2448430","DOIUrl":"10.1080/00031305.2024.2448430","url":null,"abstract":"<p><p>The classic formula for estimating the binomial probability as the proportion of successes contradicts common sense for extreme probabilities when the event never occurs or occurs every time. Laplace's law of succession estimator, one of the first applications of Bayesian statistics, has been around for over 250 years and resolves the paradoxes, although rarely discussed in modern statistics texts. This work aims to introduce a new theory for exact optimal statistical inference using Laplace's law of succession estimator as a motivating example. We prove that this estimator may be viewed from a different theoretical perspective as the limit point of the short confidence interval on the double-log scale when the confidence level approaches zero. This motivating example paves the road to the definition of an estimator as the inflection point on the cumulative distribution function as a function of the parameter given the observed statistic. This estimator has the maximum infinitesimal probability of the coverage of the unknown parameter and, therefore, is called the maximum concentration (MC) estimator as a part of a more general M-statistics theory. The new theory is illustrated with exact optimal confidence intervals for the normal standard deviation and the respective MC estimators.</p>","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"79 3","pages":"311-319"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12333967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144818119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation. 累积发生率的多重归算方法及其对方差估计的影响。
IF 2.1 4区 数学
American Statistician Pub Date : 2025-08-01 Epub Date: 2025-02-28 DOI: 10.1080/00031305.2025.2453674
Elizabeth C Chase, Philip S Boonstra, Jeremy M G Taylor
{"title":"A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation.","authors":"Elizabeth C Chase, Philip S Boonstra, Jeremy M G Taylor","doi":"10.1080/00031305.2025.2453674","DOIUrl":"10.1080/00031305.2025.2453674","url":null,"abstract":"<p><p>We present an alternative approach to estimating the cumulative incidence function that uses non-parametric multiple imputation to reduce the problem to that of estimating a binomial proportion. In the standard competing risks setting, we show mathematically and empirically that our imputation-based estimator is equivalent to the Aalen-Johansen estimator of the cumulative incidence given a sufficient number of imputations. However, our approach allows for the use of a wider variety of methods for the analysis of binary outcomes, including preferred options for uncertainty estimation. While we focus on the cumulative incidence function, the multiple imputation approach likely extends to more complex problems in competing risks.</p>","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"79 3","pages":"291-301"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12360614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards explainable data and sports analytics: A case study on pass completion prediction in American Football 迈向可解释数据和体育分析：美式足球传球完成预测的案例研究
IF 1.8 4区 数学
American Statistician Pub Date : 2025-07-31 DOI: 10.1080/00031305.2025.2541085
Anton Augustine, Gabe P Redding, Steven Le Moan
{"title":"Towards explainable data and sports analytics: A case study on pass completion prediction in American Football","authors":"Anton Augustine, Gabe P Redding, Steven Le Moan","doi":"10.1080/00031305.2025.2541085","DOIUrl":"https://doi.org/10.1080/00031305.2025.2541085","url":null,"abstract":"","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"27 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144755733","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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