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h5 指数:40
h5 中位数:85

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#12 Probability & Statistics with Applications

标题/作者	引用次数	年份
Moving to a World Beyond “p< 0.05” RL Wasserstein, AL Schirm, NA Lazar The American Statistician 73 (sup1), 1-19	1808	2019
Forecasting at Scale SJ Taylor, B Letham The American Statistician 72 (1), 37-45	1214	2018
Abandon Statistical Significance BB McShane, D Gal, A Gelman, C Robert, JL Tackett The American Statistician 73 (sup1), 235-245	698	2019
R-squared for Bayesian Regression Models A Gelman, B Goodrich, J Gabry, A Vehtari The American Statistician 73 (3), 307-309	411	2019
Optimal Whitening and Decorrelation A Kessy, A Lewin, K Strimmer The American Statistician 72 (4), 309-314	290	2018
Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication V Amrhein, D Trafimow, S Greenland The American Statistician 73 (sup1), 262-270	282	2019
A Coefficient of Determination for Generalized Linear Models D Zhang The American Statistician 71 (4), 310-316	216	2017
Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values S Greenland The American Statistician 73 (sup1), 106-114	198	2019
Extending R with C++: A Brief Introduction to Rcpp D Eddelbuettel, JJ Balamuta The American Statistician 72 (1), 28-36	182	2018
Expert Knowledge Elicitation: Subjective but Scientific A O’Hagan The American Statistician 73 (sup1), 69-81	151	2019
Three Recommendations for Improving the Use of p-Values DJ Benjamin, JO Berger The American Statistician 73 (sup1), 186-191	136	2019
Informed Bayesian t-Tests QF Gronau, A Ly, EJ Wagenmakers The American Statistician 74 (2), 137-143	135	2020
Data Organization in Spreadsheets KW Broman, KH Woo The American Statistician 72 (1), 2-10	133	2018
Coup de Grâce for a Tough Old Bull:“Statistically Significant” Expires SH Hurlbert, RA Levine, J Utts The American Statistician 73 (sup1), 352-357	123	2019
The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data DC Mutz, R Pemantle, P Pham The American Statistician 73 (1), 32-42	115	2019
What Have We (Not) Learnt from Millions of Scientific Papers with P Values? JPA Ioannidis The American Statistician 73 (sup1), 20-25	113	2019
The False Positive Risk: A Proposal Concerning What to Do About p-Values D Colquhoun The American Statistician 73 (sup1), 192-201	93	2019
The p-Value Requires Context, Not a Threshold RA Betensky The American Statistician 73 (sup1), 115-117	92	2019
The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known RJ Calin-Jageman, G Cumming The American Statistician 73 (sup1), 271-280	91	2019
Bayesian Inference for Kendall’s Rank Correlation Coefficient J van Doorn, A Ly, M Marsman, EJ Wagenmakers The American Statistician 72 (4), 303-308	87	2018

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