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Statistics | Methodology and Computing in Applied Probability – incl. option to publish open access (Editorial Board)

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Methodology and Computing in Applied Probability

Methodology and Computing in Applied Probability

Editor-in-Chief: Joseph Glaz

ISSN: 1387-5841 (print version)
ISSN: 1573-7713 (electronic version)

Journal no. 11009

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Joseph Glaz
Department of Statistics, University of Connecticut, Storrs, USA

Editorial Board:

N. Balakrishnan, McMaster University; Christian Bender, Saarland University; Viktor Beneš, Charles University; Ji Hwan Cha, Ewha Womans University; Chan Hock Peng, National University of Singapore; Jie Chen, University of Massachusetts, BostonDamian Clancy, University of Liverpool; Antonio Di Crescenzo, Universita di Salerno; Sam Efromovich, University of Texas at Dallas; Runhuan Feng, University of Illinois at Urbana-Champaign, Esther Frostig, University of Haifa; James C. Fu, University of Manitoba; Olivier Gaudoin, University of Grenoble; Bernard Gittenberger, Technische Universität Wien; Antonio Gómez-Corral, Complutense University of Madrid;  Fred M. Hoppe, McMaster University; Jürg Hüsler, University of Bern; Junichi Imai, Keio University; Yoav Kerner, Ben-Gurion University of the Negev; Markos V. Koutras, University of Piraeus; Krzysztof Łatuszyński, University of Warwick; Claude Lefèvre, Université Libre de Bruxelles; Haijun Li, Washington State University; Nikolaos Limnios, Université de Technologie de Compiègne;Stéphane Loisel ISFA-Université Lyon 1; W. Y. Wendy Lou, University of Toronto; Dilip B. Madan, University of Maryland; Hosam M. Mahmoud, George Washington University; Raimondo Manca, Università degli Studi di Roma "La Sapienza"; Benjamin Melamed, Rutgers University; Panayotis Mertikopoulos, Université Grenoble Alpes; Bent Natvig, University of Oslo; Joseph Naus, Rutgers UniversityNatalie Packham, Berlin School of Economics and Law; José Luis Palacios, Simon Bolivar University; Cristian Preda, University of Lille IMarco Scarsini, LUISS; Sophie Schbath, INRA, Jouy-en-Josas, FrancePeter Straka,University of New South Wales; Osnat Stramer, University of IowaJulien Trufin, Université Libre de Bruxelles, Belgium; Marie-Colette van Lieshout, CWI Amsterdam; Jan Vecer, Frankfurt School of Finance and Management; Richard A. Vitale, University of Connecticut; Michael S. Waterman, University of Southern California; Haipeng Xing, State University of New York at Stony Brook

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    2018 Impact Factor
  • 0.746
  • Aims and Scope

    Aims and Scope


    Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics.

    The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests:

    Asymptotic Approximations & Expansions
    Combinatorial & Geometric Probability
    Communication Networks
    Extreme Value Theory
    Image Analysis
    Information Theory
    Mathematical Physics
    Molecular Biology
    Monte Carlo Methods
    Order Statistics
    Queuing Theory
    Reliability Theory
    Stochastic Processes

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