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INTERNATIONAL STATISTICAL REVIEW
基本信息
期刊名称 INTERNATIONAL STATISTICAL REVIEW
INT STAT REV
期刊ISSN 0306-7734
期刊官方网站 http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823
是否OA
出版商 Wiley-Blackwell
出版周期 Tri-annual
始发年份 1972
年文章数 27
最新影响因子 2.0(2022)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
数学2区 STATISTICS & PROBABILITY 统计学与概率论2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.80 1.533 1.891
Decision Sciences
Statistics, Probability and Uncertainty
30 / 122 75%
Mathematics
Statistics and Probability
47 / 206 77%
补充信息
自引率 3.10%
H-index 46
SCI收录状况 Science Citation Index
Science Citation Index Expanded
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PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0306-7734%5BISSN%5D
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The International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following:

• reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas;
• tutorials on important topics;
• expository papers on emerging areas of research or application;
• papers describing new developments and/or challenges in relevant areas;
• papers addressing foundational issues;
• papers on the history of statistics and probability;
• white papers on topics of importance to the profession or society; and
• historical assessment of seminal papers in the field and their impact.

Papers must be of interest to a sufficiently broad spectrum of the members of ISI and its family of Associations, who include researchers and practitioners in academia, government, business, and industry. Selected papers will be published with discussions and a rejoinder by the author(s).

The journal will also publish interviews with statisticians who have made prominent contributions to applications, research, and to the development of the profession. Proposals should be sent to the Co-Editor-in-Chief, Ray Chambers.


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Co-Editors-in-Chief

Nalini Ravishanker, University of Connecticut, USA

Scott Holan, University of Missouri/US Census Bureau, USA


Editors
N. Balakrishnan, McMaster University, Canada
Roberto Benedetti, University of Chieti-Pescara, Italy
Gérard Biau, Université de Paris 6, France
James Brown, University of Technology Sydney, Australia
Probal Chaudhuri, Indian Statistical Institute, India
Gerda Claeskens, KU Leuven, Belgium
Daniela Cocchi, University of Bologna, Italy
Michael Cohen, National Academies, USA
Xinwei Deng, Virginia Tech, USA
Jean-Marie Dufour, McGill University, Canada
Dani Gamerman, Universidade Federal do Rio de Janeiro, Brazil
Christian Genest, McGill University, Canada
Ofer Harel, University of Connecticut, USA
Jonathan Hosking, Amazon.com, Inc., USA
Jorge Mateu, University Jaume I, Spain
R. Todd Ogden, Columbia University, USA
Sunil Rao, University of Miami, USA
Louis-Paul Rivest, Université Laval, Canada
Denise Silva, National School of Statistical Sciences, Rio de Janeiro, Brazil
David Steinberg, Tel Aviv University, Israel
I-Ping Tu, Institute of Statistical Sciences, Academia Sinica, Taiwan
Nikos Tzavidis, University of Southampton, UK
Tertius de Wet, University of Stellenbosch, South Africa

Book Reviews Editor
Ananda Sen, University of Michigan, Ann Arbor, USA

Former Editors-in-Chief
T.E Dalenius, L.A.M. Vessereau, W.R. Buckland, O.E. Barndorff-Nielsen, D.R. Brillinger, B.W. Silverman, D.J. Trewin, V.N. Nair, W.F.M. de Vries, E. Arjas, A.M. Manninen, J. van Sinderen, E. Seneta, K. Zeelenberg, A.S. Hadi, M. Hallin, V.N. Nair, R. Chambers


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