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  Subjects -> STATISTICS (Total: 130 journals)
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The American Statistician
Journal Prestige (SJR): 0.686
Citation Impact (citeScore): 3
Number of Followers: 25  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0003-1305 - ISSN (Online) 1537-2731
Published by Taylor and Francis Homepage  [2652 journals]
  • The American Statistician 2023 Associate Editors

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      Pages: i - i
      Abstract: Volume 78, Issue 1, February 2024, Page i-i
      .

      Citation: The American Statistician
      PubDate: 2024-02-05T04:36:10Z
      DOI: 10.1080/00031305.2024.2304534
      Issue No: Vol. 78, No. 1 (2024)
       
  • Applied Linear Regression for Longitudinal Data: With an Emphasis on
           Missing Observations

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      Authors: Maria Francesca MarinoUniversity of Florence; Florence, Italy
      Pages: 128 - 129
      Abstract: Volume 78, Issue 1, February 2024, Page 128-129
      .

      Citation: The American Statistician
      PubDate: 2024-02-05T04:36:10Z
      DOI: 10.1080/00031305.2024.2302792
      Issue No: Vol. 78, No. 1 (2024)
       
  • Introduction to Stochastic Finance with Market Examples, 2nd ed

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      Authors: Skevi MichaelUniversity of Bristol; Bristol, UK
      Pages: 129 - 130
      Abstract: Volume 78, Issue 1, February 2024, Page 129-130
      .

      Citation: The American Statistician
      PubDate: 2024-02-05T04:36:10Z
      DOI: 10.1080/00031305.2024.2303414
      Issue No: Vol. 78, No. 1 (2024)
       
  • Parole Board Decision-Making using Adversarial Risk Analysis

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      Authors: Chaitanya JoshiCharné NelJavier CanoDevon L.L. Polascheka Department of Statistics; University of Auckland, Auckland, New Zealandb New Zealand Institute of Security Statistics, Rey Juan Carlos University, Madrid, Spaine New Zealand Police, Wellington, New Zealand
      Pages: 1 - 28
      Abstract: .

      Citation: The American Statistician
      PubDate: 2024-02-13T04:16:58Z
      DOI: 10.1080/00031305.2024.2303416
       
  • Prioritizing Variables for Observational Study Design using the Joint
           Variable Importance Plot

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      Authors: Lauren D. LiaoYeyi ZhuAmanda L. NgoRana F. ChehabSamuel D. Pimentela Division of Biostatistics; University of California, Berkeley, Berkeley, CAb Kaiser Permanente Northern California Division of Research, Oakland, CAc Department of Epidemiology Biostatistics, University of California, San Francisco, San Francisco, CAd Department of Statistics, University of California, Berkeley, Berkeley, CA
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2024-01-10T02:42:40Z
      DOI: 10.1080/00031305.2024.2303419
       
  • Hitting a Prime by Rolling a Die with Infinitely Many Faces

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      Authors: Shane ChernDepartment of Mathematics; Statistics, Dalhousie University, Halifax, NS, Canada
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-12-01T08:18:21Z
      DOI: 10.1080/00031305.2023.2290720
       
  • Using Conformal Win Probability to Predict the Winners of the Canceled
           2020 NCAA Basketball Tournaments

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      Authors: Chancellor JohnstoneDan Nettletona Department of Mathematics; Statistics, Air Force Institute of Technology, Wright-Patterson AFB, OHb Department of Statistics, Iowa State University, Ames, IA
      Pages: 1 - 14
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-11-17T01:22:12Z
      DOI: 10.1080/00031305.2023.2283199
       
  • Understanding the Implications of a Complete Case Analysis for Regression
           Models with a Right-Censored Covariate

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      Authors: Marissa C. AshnerTanya P. Garciaa Department of Biostatistics; Bioinformatics, Duke University, Durham, NCb Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-11-13T02:29:49Z
      DOI: 10.1080/00031305.2023.2282629
       
  • Hidden Markov Models for Low-Frequency Earthquake Recurrence

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      Authors: Jessica AllenTing WangDepartment of Mathematics; Statistics, University of Otago, Dunedin, New Zealand
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-11-10T07:06:49Z
      DOI: 10.1080/00031305.2023.2282631
       
  • Lessons from a Discussion-Based Course on the History of Statistics

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      Authors: David B. HitchcockDepartment of Statistics; University of South Carolina, Columbia, SC
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-11-08T01:38:07Z
      DOI: 10.1080/00031305.2023.2281359
       
  • Comment on “Forbidden Knowledge and Specialized Training: A Versatile
           Solution for the Two Main Sources of Overfitting in Linear Regression,”
           by Rohlfs (2023)

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      Authors: Ronald ChristensenDepartment of Mathematics; of Statistics, University of New Mexico, Albuquerque, NM
      Pages: 1 - 3
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-30T03:28:05Z
      DOI: 10.1080/00031305.2023.2277156
       
  • Technical Validation of Plot Designs by Use of Deep Learning

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      Authors: Anne Helby PetersenClaus EkstrømSection of Biostatistics; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-13T07:13:24Z
      DOI: 10.1080/00031305.2023.2270649
       
  • The Phistogram

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      Authors: Adriana Verónica BlancINENCO (UNSa-CONICET); Salta Capital, Salta, Argentina
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-09T01:23:09Z
      DOI: 10.1080/00031305.2023.2267639
       
  • A Note on Monte Carlo Integration in High Dimensions

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      Authors: Yanbo TangDepartment of Mathematics; Imperial College London, London, UK
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-09T01:21:06Z
      DOI: 10.1080/00031305.2023.2267637
       
  • One-Step Weighting to Generalize and Transport Treatment Effect Estimates
           to a Target Population

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      Authors: Ambarish ChattopadhyayEric R. CohnJosé R. Zubizarretaa Stanford Data Science; Stanford University, Stanford, CAb Department of Biostatistics, Harvard University, Boston, MAc Departments of Health Care Policy, Biostatistics, Statistics, Harvard University, Boston, MA
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-09T01:20:58Z
      DOI: 10.1080/00031305.2023.2267598
       
  • Causal Quartets: Different Ways to Attain the Same Average Treatment
           Effect

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      Authors: Andrew GelmanJessica HullmanLauren Kennedya Department of Statistics; Columbia University, New York, NYb Department of Computer Science, Northwestern University, Evanston, ILc Department of Mathematical Sciences, The University of Adelaide, South Australia, Australia
      Pages: 1 - 6
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-05T05:55:19Z
      DOI: 10.1080/00031305.2023.2267597
       
  • Missing Data Imputation with High-Dimensional Data

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      Authors: Alberto BriniEdwin R. van den HeuvelDepartment of Mathematics; Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
      Pages: 1 - 13
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-10-02T06:32:16Z
      DOI: 10.1080/00031305.2023.2259962
       
  • The Application of the Likelihood Ratio Test and the
           Cochran-Mantel-Haenszel Test to Discrimination Cases

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      Authors: Weiwen MiaoJoseph L. Gastwirtha Department of Mathematics; Statistics, Haverford College, Haverford, PAb Department of Statistics, George Washington University, Washington DC
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-09-15T07:40:33Z
      DOI: 10.1080/00031305.2023.2259969
       
  • Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football
           with Player Tracking Data

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      Authors: Quang NguyenRonald YurkoGregory J. Matthewsa Department of Statistics & Data Science; Carnegie Mellon University, Pittsburgh, PAb Department of Mathematics Consulting, Loyola University Chicago, Chicago, IL
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-09-14T07:14:16Z
      DOI: 10.1080/00031305.2023.2242442
       
  • Melded Confidence Intervals Do Not Provide Guaranteed Coverage

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      Authors: Jesse FreyYimin ZhangDepartment of Mathematics; Statistics, Villanova University, Villanova, PA
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-09-08T07:29:13Z
      DOI: 10.1080/00031305.2023.2257253
       
  • Statistical Challenges in Online Controlled Experiments: A Review of A/B
           Testing Methodology

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      Authors: Nicholas LarsenJonathan StallrichSrijan SenguptaAlex DengRon KohaviNathaniel T. Stevensa Department of Statistics; North Carolina State University, Raleigh, CAb Airbnb, Seattle, WAc Sole Proprietor, Los Altos, CAd Department of Statistics & Actuarial Science, University of Waterloo, Waterloo, Canada
      Pages: 1 - 15
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-09-08T01:58:06Z
      DOI: 10.1080/00031305.2023.2257237
       
  • Differentially Private Methods for Releasing Results of Stability Analyses

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      Authors: Chengxin YangJerome P. ReiterDepartment of Statistical Science; Duke University, Durham, NC
      Pages: 1 - 12
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-29T01:03:43Z
      DOI: 10.1080/00031305.2023.2252870
       
  • Enhanced Inference for Finite Population Sampling-Based Prevalence
           Estimation with Misclassification Errors

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      Authors: Lin GeYuzi ZhangLance A. WallerRobert H. LylesDepartment of Biostatistics; Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA
      Pages: 1 - 7
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-23T02:25:37Z
      DOI: 10.1080/00031305.2023.2250401
       
  • Bayesian Detection of Bias in Peremptory Challenges Using Historical
           Strike Data

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      Authors: Sachin S. PandyaXiaomeng LiEric BarónTimothy E. Moorea School of Law; University of Connecticut, Hartford, CTb Department of Statistics, University of Connecticut, Storrs, CTc Statistical Consulting Services, Center for Open Research Resources & Equipment, University of Connecticut, Storrs, CT
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-21T11:29:15Z
      DOI: 10.1080/00031305.2023.2249967
       
  • Bivariate Analysis of Distribution Functions Under Biased Sampling

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      Authors: Hsin-wen ChangShu-Hsiang WangInstitute of Statistical Science; Academia Sinica, Taipei, Taiwan
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-21T11:29:11Z
      DOI: 10.1080/00031305.2023.2249965
       
  • Multiple-Model-based Robust Estimation of Causal Treatment Effect on a
           Binary Outcome with Integrated Information from Secondary Outcomes

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      Authors: Chixiang ChenShuo ChenQi LongSudeshna DasMing Wanga Division of Biostatistics; Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-21T06:51:33Z
      DOI: 10.1080/00031305.2023.2250399
       
  • Counting the Unseen: Estimation of Susceptibility Proportions in
           Zero-Inflated Models Using a Conditional Likelihood Approach

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      Authors: Wen-Han HwangLu-Fang ChenJakub Stoklosaa Institute of Statistics; National Tsing Hua University, Hsinchu, Taiwanb Department of Mechanical Engineering, Minghsin University of Science Statistics, The University of New South Wales, Sydney, Australia
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-18T01:17:36Z
      DOI: 10.1080/00031305.2023.2249529
       
  • Likelihood-Free Parameter Estimation with Neural Bayes Estimators

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      Authors: Matthew Sainsbury-DaleAndrew Zammit-MangionRaphaël Husera School of Mathematics; Technology (KAUST), Thuwal, Saudi Arabia
      Pages: 1 - 23
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-17T12:46:51Z
      DOI: 10.1080/00031305.2023.2249522
       
  • First-Passage Times for Random Partial Sums: Yadrenko’s Model for e
           and Beyond

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      Authors: Joel E. Cohena The Rockefeller University; New York, NYb Columbia University, New York, NYc University of Chicago, Chicago, IL
      Pages: 1 - 4
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-08-10T12:20:21Z
      DOI: 10.1080/00031305.2023.2244542
       
  • Introducing Variational Inference in Statistics and Data Science
           Curriculum

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      Authors: Vojtech KejzlarJingchen Hua Department of Mathematics; Statistics, Vassar College, Poughkeepsie, NY
      Pages: 1 - 9
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-07-24T02:07:14Z
      DOI: 10.1080/00031305.2023.2232006
       
  • Confidence Distributions for the Autoregressive Parameter

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      Authors: Rolf LarssonDepartment of Mathematics; Uppsala University, Uppsala, Sweden
      Pages: 1 - 8
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-07-12T12:24:03Z
      DOI: 10.1080/00031305.2023.2226184
       
  • Play Call Strategies and Modeling for Target Outcomes in Football

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      Authors: Preston BiroStephen G. WalkerDepartment of Statistics; Data Sciences, University of Texas at Austin, Austin, TX
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-07-12T12:19:52Z
      DOI: 10.1080/00031305.2023.2223582
       
  • Out-of-Sample R2: Estimation and Inference

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      Authors: Stijn HawinkelWillem WaegemanSteven Maerea Department of Plant Biotechnology; Mathematical Modelling, Ghent University, Ghent, Belgium
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-06-30T02:05:22Z
      DOI: 10.1080/00031305.2023.2216252
       
  • Sensitivity Analyses of Clinical Trial Designs: Selecting Scenarios and
           Summarizing Operating Characteristics

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      Authors: Larry HanAndrea ArfèLorenzo Trippaa Department of Biostatistics; Harvard T.H. Chan School of Public Health, Boston, MAb Department of Epidemiology Computational Biology, Dana-Farber Cancer Institute, Boston, MA
      Pages: 1 - 12
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-06-26T08:48:33Z
      DOI: 10.1080/00031305.2023.2216253
       
  • Inverse Probability Weighting Estimation in Completely Randomized
           Experiments

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      Authors: Biao ZhangDepartment of Mathematics; Statistics, The University of Toledo, Toledo, OH
      Pages: 1 - 10
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-06-26T08:46:25Z
      DOI: 10.1080/00031305.2023.2216247
       
  • Evidential Calibration of Confidence Intervals

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      Authors: Samuel PawelAlexander LyEric-Jan Wagenmakersa Department of Biostatistics; University of Zurich, Zurich, Switzerland b Psychological Methods, University of Amsterdam, Amsterdam, Netherlands c Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, Netherlands
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-06-26T08:42:32Z
      DOI: 10.1080/00031305.2023.2216239
       
  • Learning to Forecast: The Probabilistic Time Series Forecasting Challenge

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      Authors: Johannes BracherNils KosterFabian KrügerSebastian Lercha Karlsruhe Institute of Technology; Karlsruhe, Germanyb Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
      Pages: 1 - 13
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-04-24T01:24:24Z
      DOI: 10.1080/00031305.2023.2199800
       
  • A Characterization of Most(More) Powerful Test Statistics with Simple
           Nonparametric Applications

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      Authors: Albert VexlerAlan D. Hutsona Department of Biostatistics; The State University of New York at Buffalo, Buffalo, NYb Department of Biostatistics Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY
      Pages: 1 - 11
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-04-18T12:27:39Z
      DOI: 10.1080/00031305.2023.2192746
       
  • Semi-Structured Distributional Regression

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      Authors: David RügamerChris KolbNadja Kleina Department of Statistics; LMU Munich, Munich, Germanyb Munich Center for Machine Learning, Munich, Germanyc Chair of Statistics Statistical Learning, Dortmund, Germany
      Pages: 1 - 12
      Abstract: .

      Citation: The American Statistician
      PubDate: 2023-02-10T01:16:36Z
      DOI: 10.1080/00031305.2022.2164054
       
 
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  Subjects -> STATISTICS (Total: 130 journals)
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