Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May, when R ...

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 ...

Our Master of Science in Statistics program is designed to give students a solid foundation in applied and theoretical statistics, enabling them to prepare for careers as statisticians in industry, ...

An introduction to creation and manipulation of databases and statistical analysis using SAS software. SAS is widely used in the pharmaceutical industry, medical research and other areas. Cannot be ...

University of Delaware alumnus Yunjiao Cai believes data science has the biggest potential to effectively solve many of the world’s pressing challenges. And, at the core of data science, lies ...

Collect, organize, analyze, and interpret data to understand and overcome challenges. Explore a degree in statistics to find meaningful insights. Find the resources of a large university in a small ...

Learn how to formulate, solve and analyze real-world problems. As an Applied Mathematics and Statistics major, you will learn how to apply mathematics to solve problems in fields such as business, ...

The R statistical programming language is gaining popularity as developers scramble to meet the Big Data skills shortage, with one new report proclaiming it's "on its way to the top 10." "Thanks to ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...