The rapid advances in modeling research have created new challenges and opportunities for statisticians [...]

The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an integrated educational web-based framework for: inte...

Inquiry based pedagogies have a strong presence in proof-based undergraduate mathematics courses, but can be difficult to implement in courses that are large, procedural, or highly computational. An introductory course in statistics would thus seem an unlikely candidate for an inquiry based approach, as these courses typically steer well clear of proof, have a list of required topics, and depen...

The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of “experimental mathematics.” These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

Computational anatomy is the science of anatomical shape examined by deforming a template organ into a subject organ. It compares and contrasts organ shapes to inspire personalized treatments or find group differences in case-control studies. Independently of the transformation model used, the task of finding deformations between organs is a statistical task concerned with estimating parameters...

Erratum Erratum to " Point and interval estimation for the two-parameter Birnbaum–Saunders distribution based on Type-II censored samples " Table 6 of the published paper contained errors. Below the correct table is shown.