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 ...

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

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 ...

This course provides an overview of modern applied statistics. It will cover an introduction to quantitative research design, exploratory data analysis and data visualisation, generalised linear ...

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.

Read the rest The post A comprehensive statistical analysis of Six Degrees of Kevin Bacon appeared first on Boing Boing.

During the last 15 years there have been notable changes in regulatory enforcement of potential redlining situations. This ...

Experts in data analysis, statistics and machine learning for physics came together from 9 to 12 September for PHYSTAT’s ...