Nowadays, the pervasive usage of data to measure all the relevant aspects of our life (economics, health, social life) makes data modeling particularly important. This thematic issue seeks applied and methodological papers addressing challenging problems using new statistical or machine learning methods or decision analytics.Read more about Call for Papers Thematic issue on "Recent Advances in Data-driven Statistical Methods"
Statistics is more and more used in all sports with a variety of aims, ranging from predicting the outcome of a competition to the analysis of performance, amongst many others. This special issue is devoted to collect articles that focus on developments and applications of statistical methods and models in sports.Read more about Call for Papers Thematic issue on "Statistics for Performance and Match Analysis in Sports"
In the era of data, Statistical literacy has become a fundamental skill that gives anyone a competitive edge in any field. This thematic issue aims to collect contributions focused on statistical new methods and tools to teach statistics that are based on most recent IT innovations, as well as to any approach to assessing the students' statistical literacy, knowledge, and ability in applying knowledge, including their judgment abilities in problems that require any statistical method to be solved.Read more about Call for Papers Thematic issue on "Learning and Teaching Statistics: new challenges and frontiers"
Call for papers. Thematic issue on “Online teaching-learning in higher education during COVID-19 pandemic: Empirical evidence and quantitative studies”2021-02-08
The recent pandemic has forced universities to change the way teaching is delivered, with a transfer from on-site to on-line education. This thematic issue aims to collect quantitative studies describing online teaching-learning modes adopted by universities for the teaching-learning process and subsequent semester examinations.Read more about Call for papers. Thematic issue on “Online teaching-learning in higher education during COVID-19 pandemic: Empirical evidence and quantitative studies”