Housed in the Department of Applied Mathematics, the Laboratory for Interdisciplinary Statistical Analysis (LISA) trains students to become effective interdisciplinary collaborators who can apply ...

Ken Gerow, professor emeritus of the University of Wyoming’s Department of Mathematics and Statistics, has co-written a new ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Low statistical power undermines the purpose of scientific research; it reduces the chance of detecting a true effect. Perhaps less intuitively, low power also reduces the likelihood that a ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

For the first time, researchers have been able to combine different climate models using spatial statistics -- to project future seasonal temperature changes in regions across North America. For the ...

Career Connections: Network with recruiters from National Labs and federally-funded Research Centers to explore co-op, internship, research, and full-time employment opportunities. Gain Work ...

Geoff Cumming receives funding from the Australian Research Council. Such research findings sound exciting because the word significant suggests important and large. But researchers often use the word ...