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 ...

The life sciences industry is witnessing a fundamental shift-one that is driven not just by data, but by intelligent automation. Having spent over 17 years working at the intersection of clinical ...

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 ...

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 ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

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 ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

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 ...

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, ...

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