Writers and programmers have had a similar experience: staring at a blank screen, the blinking cursor mocking you. I've found a way to get that cursor moving. You might not think that statistics would ...

American Journal of Agricultural Economics, Vol. 79, No. 4 (Nov., 1997), pp. 1352-1362 (11 pages) This paper uses resampling estimation techniques to develop a statistical mathematical programming ...

After finishing the University of Delaware’s online master of science in applied statistics program, Anaise Higgins, a UD Class of 2023 graduate, has catapulted herself higher up in the world of data ...

The University of Chicago’s Division of the Physical Sciences is launching a PhD program in computational and applied mathematics, part of an expansion into a field at the intersection of big data and ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...

Introduction -- Why use R for your statistical work? -- Whom is this book for? -- My own background -- Getting started -- How to run R -- A first R session -- Introduction to functions -- Preview of ...