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Model Assisted Statistics and Applications
An International Journal
New section: Teaching Statistics (from volume 5:2 on) ISSN: 1574-1699 Volume 5; 4 issues Institutional subscription (print and online) for 2010: €293 / US$420 (including postage and handling) Click on the subscribe button for more options, including personal subscription prices. Status Report: Last issue (volume 5:1) online on 17 February 2010 Next issue (volume 5:2) scheduled for May 2010 Aims and Scope Editorial Board Submission of Manuscripts Abstracted in Download flyer for this journal |
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Editor-in-Chief Dr. Sarjinder Singh
Department of Mathematics Texas A&M University-Kingsville 78363 Kingsville, TX USA E-mail: sarjinder@yahoo.com Co-Editor-in-Chief Dr. Stan Lipovetsky
GfK Custom Research North America 8401 Golden Valley Road MN 55427 Minneapolis USA E-mail: stan.lipovetsky@gfk.com Teaching Statistics Dr. Marcin Kozak
Poland Managing Editor Stephen Horn
Australia Assistant Editors Sarah Hurwicz Kogut
USA Michael Scheltgen Canada Treasurer Sylvia R. Valdes
USA Associate Editors
Dr. Arkady Shemyakin
Teaching Statistics USA Dr. Lawrence Lesser USA Sampling South Africa Mohan Lal Bansal India Jong-Min Kim USA Sukhminder S. Osahan USA Sergio M. Puertas Spain Housila P. Singh India Guohua Zou China Econometrics Australia Bayesian Statistics USA Ilya Lipkovich USA Time Series USA Design of Experiments Australia Manjit Singh Virk India Amrit Kaur India Multivariate Analysis Saudi Arabia Special Topics
Ross Corkrey
Applications and Simulations Australia Balbinder Deo Canada Munir Mahmood Australia Sylvia R. Valdes USA Biopharmaceutical Statistics USA Clustering and Data Mining USA Marketing Research and Microeconomics USA Editorial Board Members
See instructions to authors. Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation or analytical phase of statistical project. This information may be survey-generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis are preferred. Papers of both applied and theoretical topics are acceptable. Abstracted in
Current Index to Statistics,
MathSciNet,
Scopus,
Zentralblatt MATH
Backvolumes
1-3
Conferences
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