The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding ...

id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

In his patent application, Hollerith explained the usefulness of his machine in the context of a population survey and the statistical analysis of what we now call “big data”: The returns of a ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Dłotko, Paweł Hellmer, Niklas Stettner, Łukasz and Topolnicki, Rafał 2024. Topology-driven goodness-of-fit tests in arbitrary dimensions. Statistics and Computing ...

You are now ready to perform statistical analysis of your results, but first, you have to choose a critical value at which to reject your null hypothesis. You opt for a critical value probability ...

A new, multinational study has revealed that the shape of the human heart, influenced by genetic factors, could serve as a valuable predictor for cardiovascular disease risk.

The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

Statistical analysis of basketball is still gaining attention, both from NBA and WNBA teams and from fans and analysts. For newcomers, stormbasketball.com has put together a quick primer ...