Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

The Michigan Tech Advantage The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and ...

In a regression analysis there may be certain data points (which may or may not be outliers) that are influential in the sense that their presence or absence significantly influences the obtained ...

Bradley Efron, Regression and ANOVA with Zero-One Data: Measures of Residual Variation, Journal of the American Statistical Association, Vol. 73, No. 361 (Mar., 1978), pp. 113-121 ...

Erratum Published: 18 April 2008 Erratum: Comparison of regression models with land-use and emission data to predict the spatial distribution of traffic-related air pollution in Rome Mats ...