Model Assisted Statistics and Applications

An International Journal

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16; 4 issues
Last issue (16:2) online on 07 July 2021
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16:3 scheduled for October 2021
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Mathematics, Social Sciences, Statistics
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Call for papers: International Conference on Data Analytics and Computational Techniques (ICDACT-2021) (submission deadline: August 15, 2021)

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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.

Sarjinder Singh
Department of Mathematics
Texas A&M University-Kingsville
Kingsville, TX, USA

Stan Lipovetsky
Independent consultant
Minneapolis, MN, USA

Teaching Statistics Section Editor
Arkady Shemyakin, USA
(Bayesian statistics, finances, time series)

Managing Editor
Stephen Horn, Australia

Associate Editors
Applications and Simulations
Balbinder Deo, Canada
Hugh Gong, USA

Bayesian Statistics
Ilya Lipkovich, USA

Biopharmaceutical Statistics
Boris Zaslavsky, USA
Prem Chandra, Qatar

Clustering and Data Mining
Igor Mandel, USA

Design of Experiments
Eldho Varghese, India
Slava Brodsky, USA


Finance and Insurance
Vladimir Ladyzhets, USA

Operations Research
Alex Topchishvili, Germany

Raghunath Arnab, South Africa
Marcin Kozak, Poland
Pier Francesco Perri, Italy
Housila P. Singh, India
A.K.P.C. Swain, India

Time Series and Stochastic Processes
Wenyaw Chan, USA

Assistant Editors
Sarah Hurwicz Kogut, USA
Cheon-Sig Lee, USA
Michael Scheltgen, Canada

Editorial Board Members
Hukum Chandra, India
Balwant Gill, USA
Inderjit Singh Grewal, India
Anwar H. Joarder, Bangladesh
Jong-Min Kim, USA
Maxwell L. King, Australia
Pranesh Kumar, Canada
Munir Mahmood, Kuwait
Sukhminder S. Osahan, USA
Sergio M. Puertas, Spain
Sukhjinder S. Sidhu, India
Jaswinder Singh, Canada
Lakshmi N. Upadhyaya, India
Silvia R. Valdes, USA
Med Ram Verma, India
Zaizai Yan, China
Guohua Zou, China


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    References must be listed alphabetically in APA style:
    Anderson, A. K. (2005). Affective influences on the attentional dynamics supporting awareness. Journal of
                   Experimental Psychology: General, 154, 258–281.
    Anderson, A. K., Christoff, K., Panitz, D., De Rosa, E., & Gabrieli, J. D. E. (2003). Neural correlates of
                    the automatic processing of threat facial signals. Journal of Neuroscience, 23, 5627–5633.
    Armony, J. L., & Dolan, R. J. (2002). Modulation of spatial attention by fear-conditioned stimuli: An event-related
                    fMRI study. Neuropsychologia, 40, 817–826.
    Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety:
                    Psychometric properties. Journal of Consulting and Clinical Psychology, 56,893–897.
    Calvo, M. G., & Lang, P. J. (2004). Gaze patterns when looking at emotional pictures: Motivationally
                   biased attention.Motivation and Emotion, 28, 221–243.
    Carretie, L., Hinojosa, J. A., Martin-Loeches, M., Mecado, F., & Tapia, M. (2004). Automatic attention
                    to emotional stimuli: Neural correlates. Human Brain Mapping, 22, 290–299.

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    The journal uses the double-blind reviewing system with the names of both the authors and reviewers hidden. Reviewers evaluate originality, correctness and novelty of the paper. Both theoretical and applied papers are welcomed. It is assumed that the corresponding author confirms, along with the submission, that the paper has not yet been published elsewhere, is not under consideration for another journal, that each actual co-author has been included in the coauthor list and that each coauthor has made a substantial contribution to the paper.

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