ASIAN JOURNAL OF STATISTICS AND APPLICATIONS is a double-blind peer reviewed bi-annual journal of the theoretical and applied areas in Statistics. It aims to provide a platform to the researchers working in the theoretical and applied aspects of Statistics and welcomes the highly innovative research papers and review articles. The emphasis is on the theoretical and methodological papers containing substantial derivations and applications. Topics of interest include Theoretical, Methodological, and Computational and applied all areas in Statistics.
TOPIC OF THE JOURNAL
AJSA: Papers providing important original contributions to theoretical and methodological statistics inspired by applications are considered. Papers dealing directly or indirectly, with computational and technical elements are particularly encouraged. These cover developments concerning issues of high dimensionality, re-sampling, dependence, robustness, filtering, and, in general, the interaction of mathematical and statistical methods, numerical implementations and the extra burden of analyzing large and/or complex datasets in different areas such as agriculture, medicine, epidemiology, biology, psychology, climatology and communication, engineering, ecology, education, operations research, business, economics, management and finance. Innovative algorithmic developments are also of interest, as are the computer programs and the computational environments that implement them as a complement.
AJSA INSTRUCTIONS FOR AUTHORS
The AJSA welcomes the submission of original research papers and well focused review articles in Statistics and Applications. Electronically as word file, LaTeX format with PDF directly to the Editor in Chief: editorajsa@gmail.com.
Each submission must contain both blinded and unblinded versions of the manuscript.
The paper should be written clearly and concisely in English without spelling and grammatical mistakes and must include Title, Name(s), and Institutional Affiliation(s) of the author(s) in case of unblinded copy, Abstract, Keywords, Introduction, Methodology, Results and Discussion, Conclusion, Acknowledgement, References and Appendix, if any. Blind version of the manuscript should not contain authors’ names anywhere in the manuscript. Pages should be numbered consecutively.
The title of the paper should be brief and concise. Abstract should be a short summary of the paper with a maximum length of 250 words which must appear on the first page of the manuscript after the title, followed by a maximum of 5 keywords and MSC 2020 subject classification.
Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
While including tables, note that each table should start with a Table number and caption at the top. Tables should be sequentially numbered in Arabic numerals as Table 1, Table 2, etc. and the caption should follow the Table number, after a colon. Also, the Tables and captions should be center aligned.
All diagrams, figures and other illustrations should be named as figures, and numbered consecutively in Arabic numerals (Figure 1, Figure 2, etc,) followed by a colon and a short caption at the bottom. All the Figures and captions should be center aligned.
Use APA system, and add DOI numbers for each reference, if it is available.
Examples of correct forms of references are given below:
Aggarwal, M. L., Sarin, V. and Singh, P. (2002). Optimal orthogonal designs in two blocks for Becker’s mixture models in three and four components. Statistics & Probability Letters, 59(4), 385-396.
Mathai, A. M., and Davis, T.A. (1974). Constructing the sunflower head. Mathematical Biosciences, 20(1-2), 117-133.
DOI: 10.1016/0025-5564(74)90072-8
Mathai, A. M. and Pederzoli, G. (1977). Characterizations of the Normal Probability Law. John Wiley & Sons, New York.
Download PDF