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 ...

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

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 ...

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 ...

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 ...

The main aim of the present work is to establish connections between the theory of dynamic programming and the statistical decision theory. The paper deals with a nonMarkovian dynamic programming ...

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 ...

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 ...

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier. Tiobe now places R in 21st position and suggests the ...