期刊名称:SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS
期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal

Sequential Analysis Design Methods and Applications
ISSN 0747-4946 (Print), 1532-4176 (Online)
Publication Frequency 4 issues per year
Publication history
Currently known as
- Sequential Analysis: Design Methods and Applications (1984 - current)
Formerly known as
- Communications in Statistics. Part C: Sequential Analysis (1982 - 1983)
Subjects covered by this journal
Abstracting & indexing
Abstracted/indexed in: CSA Technology Research Database, Current Index to Statistics, MathSciNet, Mathematical Reviews, Scopus, Statistical Theory and Method Abstracts, and Zentralblatt MATH.
Aims & scope
The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches.
Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.
Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106
Readership
The journal emphasizes both readability and relevance to all statisticians and does not exclusively cater to a handful of specialists in the field of sequential analysis. Readership includes statisticians, mathematicians, biostatisticians, scientists, probabilists, clinicians, quality control managers, and engineers.
Instructions to Authors
Aims and Scope:
The purpose of Sequential Analysis is to publish contributions in both theoretical and applied aspects of sequential methodologies in all areas of statistical science. The journal highlights developments of new and important sequential methods as well as novel use of existing sequential methods. Interdisciplinary articles and articles emphasizing methodologies that are expected to be of practical value to applied researchers and statistical consultants are especially encouraged. Articles that deal with contemporary areas of applications including animal abundance, bioequivalence, clinical trials, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, finance, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are highly encouraged. Expository, review articles critically synthesizing broad-based statistical issues are deemed particularly valuable. Novel case-study articles are also welcome. The published articles should emphasize both readability and relevance in the eyes of ALL statisticians. All papers are refereed.
Please note that Sequential Analysis uses CrossCheck™ software to screen papers for unoriginal material. By submitting your paper to Sequential Analysis you are agreeing to any necessary originality checks your paper may have to undergo during the peer review and production processes.
Submission of Manuscripts: Manuscripts may be sent to the Editor-in-Chief: Professor Nitis Mukhopadhyay, Department of Statistics, UBox 4120, CLAS Building, University of Connecticut, 215 Glenbrook Road, Storrs, CT 06269-4120, U.S.A.; E-mail: nitis.mukhopadhyay@uconn.edu ; http://merlot.stat.uconn.edu/~nitis/ . Authors are requested to submit manuscripts by email or by mail on disk, in MS Word or PDF format. The disk should be clearly labeled with the authors’ names, file name, and software program. Authors are responsible for obtaining permission to reproduce copyrighted material from other sources and are required to sign an agreement for the transfer of copyright to the publisher. All accepted manuscripts, artwork, and photographs become the property of the publisher. All parts of the manuscript should be typewritten, double-spaced, with margins of at least 1.5 cm on all sides. Number manuscript pages consecutively throughout the paper. Authors should also supply a shortened version of the title suitable for the running head, not exceeding 50 character spaces. Each article should be summarized in an abstract of not more than 200 words. Consult a recent journal issue. For detailed instructions, visit online: http://www.tandf.co.uk/journals/authors/lsqaauthdetail.pdf
Illustrations: Illustrations submitted (line drawings, halftones, photos, photomicrographs, etc.) should be clean originals or digital files. Digital files are recommended for highest quality reproduction and should follow these guidelines:
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300 dpi or higher
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sized to fit on journal page
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EPS, TIFF, or PSD format only
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submitted as separate files, not embedded in text files
Color Reproduction. Color art will be reproduced in color in the online publication at no additional cost to the author. Color illustrations will also be considered for print publication; however, the author will be required to bear the full cost involved in color art reproduction. Please note that color reprints can only be ordered if print reproduction costs are paid. Print Rates: $900 for the first page; $450 per page for the next three pages of color. A custom quote will be provided for articles with more than four pages of color. Art not supplied at a minimum of 300 dpi will not be considered for print. Tables and Figures: Tables and figures should be embedded in the text until a manuscript is finally accepted for publication. At that point, the tables and figures should be included as separate sheets or files. For detailed instructions, visit online: http://www.tandf.co.uk/journals/authors/lsqaauth-detail.pdf
References: Identify references in the text by Author last name(s) and Arabic numerals in parentheses, and list alphabetically in the Reference Section. References should include: names of all contributing authors (last names first); complete title of the journal or book; volume number; names of all editors; location and name of publishing company (books only); year of publication; page numbers. For examples and detailed instructions, visit online: http://www.tandf.co.uk/journals/authors/lsqaauth-detail.pdf
Complimentary Policy and Reprints: Authors for whom we receive a valid email address will be provided an opportunity to purchase reprints of individual articles, or copies of the complete print issue. These authors will also be given complimentary access to their final article on Taylor & Francis Online .
Abraham Wald Prize in Sequential Analysis: This prestigious prize is awarded to author(s) of an article that is judged the best among all published articles in Sequential Analysis journal during the preceding year. The winning paper is normally announced in a special ceremony held during the joint statistical meetings. i OpenAccess: This journal is part of Taylor & Francis’s iOpenAccess initiative, which gives authors the option to pay a one-off fee to make their article free online. Choosing this option also allows authors to post their article in an institutional or subject repository immediately upon publication. Further information about this initiative is available here: http://journalauthors.tandf.co.uk/beyondpublication/iopenaccess.asp
Editorial Board
Editor-in-Chief
Nitis Mukhopadhyay Department of Statistics CLAS Bldg, Box 4120 University of Connecticut Storrs, CT 06269-4120, USA Tel: 860-486-6144 Fax: 860-486-4113 E-mail: nitis.mukhopadhyay@uconn.edu
Associate Editors
Masafumi Akahira - Institute of Mathematics, University of Tsukuba, Ibaraki, JAPAN Makoto Aoshima - Institute of Mathematics, University of Tsukuba, Ibaraki, JAPAN Uttam Bandyopadhyay - Department of Statistics, University of Calcutta, University College of Science, Calcutta, INDIA Michael Baron - Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, Texas, U.S.A. Atanu Biswas - Applied Statistics Unit, Indian Statistical Institute, Kolkata, INDIA Benzion Boukai - Department of Mathematical Sciences, IUPUI, Indianapolis, IN, U.S.A. Hock Peng Chan - Department of Statistics & Applied Probability, National University of Singapore, Singapore, REPUBLIC OF SINGAPORE Yuan-chin Ivan Chang - Institute of Statistical Science Academia Sinica, Taipei, TAIWAN Saibal Chattopadhyay - Operations Management Group, Indian Institute of Management Calcutta, Kolkata, INDIA Pinyuen Chen - Department of Mathematics, Syracuse University, Syracuse, NY, U.S.A. D. Stephen Coad - School of Mathematical Sciences, University of London, United Kingdom Basil M. de Silva - School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria, AUSTRALIA Scott S. Emerson - Department of Biostatistics, University of Washington, Seattle, WA, U.S.A. Joe Glaz - Department of Statistics, University of Connecticut, Storrs, CT, U.S.A. David Goldsman - School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, U.S.A. Edit Gombay - Department of Mathematical & Statistical Sciences, University of Alberta, Edmonton, Alberta, CANADA Allan Gut - Department of Mathematics, Uppsala University, Uppsala, SWEDEN Marie Huskova - Department of Statistics, Charles University, Prague, CZECH REPUBLIC Robert W. Keener - Department of Statistics, University of Michigan, Ann Arbor, MI, U.S.A. Tze L. Lai - Department of Statistics, Stanford University, Stanford, CA, U.S.A. Sangyeol Lee - Department of Statistics, Seoul National University, Seoul, KOREA Wei Liu - School of Mathemetics, University of Southampton, Southampton, UNITED KINGDOM Tod Luginbuhl - Naval Undersea Warfare Center, Newport, RI, U.S.A. Adam T. Martinsek - Department of Statistics, University of Illinois, Urbana, IL, U.S.A. Madhuri Mulekar - Department of Mathematics & Statistics, University of South Alabama, Mobile, AL, U.S.A. Kamel Rekab - Department of Computer Science, Florida Institute of Technology, Melbourne, FL, U.S.A. William F. Rosenberger - School of Information Technology and Engineering, George Mason University, Fairfax, VA, U.S.A. Wolfgang Schmid - Department of Statistics, European University, Frankfurt (Oder), GERMANY Jonathan J. Shuster - College of Medicine, University of Florida, Gainesville, FL, USA T. K. S. Solanky - Department of Mathematics, University of New Orleans, New Orleans, LA, U.S.A. T. N. Sriram - Department of Statistics, University of Georgia, Athens, GA, U.S.A. Yoshikazu Takada - Department of Computer Science, Kumamoto University, Kumamoto, JAPAN Alexander Tartakovsky - Department of Mathematics, University of Southern California, Los Angeles, CA, U.S.A. Michael Woodroofe - Department of Statistics, University of Michigan, Ann Arbor, MI, U.S.A. Linda J. Young - College of Medicine/ Department of Statistics, University of Florida, Gainesville, FL, U.S.A. Shelley Zacks - Department of Mathematical Sciences, Binghamton University, Binghamton, NY, U.S.A.
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