Dear Colleagues,

Discrete data analysis concerns statistics, analytics, and inferences specifically designed for discretely measured data such as binary data, ordinal data, multinomial data, count data, and grouped continuous data. Discrete data are present in almost all research areas, and they are particularly common in biomedical sciences, social sciences, and business fields. The development of statistical tools for discrete data has played an instrumental role in drawing meaningful conclusions in clinical trials, oncology research, psychology studies, marketing, and e-commerce strategies. Due to the discrete nature of the data, however, fundamental statistical questions remain unresolved or not fully addressed. The lack of appropriate statistical tools is amplified by the advancement in information technology, social media, precision-X, and other emerging areas of practice and research.

This Special Issue calls for research papers devoted to the development of theories, methods, and applications for discrete data analysis. In particular, the authors are encouraged to develop the following:

• New analytic tools including measures, statistics, and visualization methods;
• New descriptive and predictive models as well as their assessment and diagnostics;
• Novel applications of existing methods to emerging problems in subject domains and industries;
• Reviews of current statistical practice in subject domains and industries with in-depth discussions on its limitations and pitfalls.

Assoc. Prof. Dr. Dungang Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Stats is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.