Communications in Statistics: Case Studies, Data Analysis and Applications (CS:CSDAA)

The Communications in Statistics series of journals aims to be at the forefront of probability and statistics research globally. Communications in Statistics: Case Studies, Data Analysis and Applications helps us do this by publishing case studies and associated data analytic methods in statistics. We welcome research that explores: Data analysis arising from large-scale clinical trials Statistics related to sociological and political studies Data analysis of industrial experiments Appropriate methods of analyzing data Novel data analytic and fitting methods suitable for the analysis of big data Techniques for analysing big data Special issues dedicated to any of the above listed topics will also be of interest. Once your paper has been assessed for suitability by the editor, it will then be single anonymized peer-reviewed by expert referees. Author benefits: Be part of a series of three journals that specialize in advances in statistics and data analysis. The three journals in this series are: Communications in Statistics: Case Studies, Data Analysis and Applications Communications in Statistics - Simulation and Computation Communications in Statistics - Theory and Methods

Communications in Statistics: Case Studies, Data Analysis and Applications (CS:CSDAA) is :-

• International, Peer-Reviewed, Open Access, Refereed, large-scale clinical trials, sociological and political studies, industrial experiments, Appropriate methods, fitting methods, Novel data, Techniques , Online , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2373-7484, Established: 2015, Impact Factor: 1.0
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE