Computable Statistical Research and Practice

Anthony Rossini ()
Additional contact information
Anthony Rossini: Novartis Pharma AG

A chapter in COMPSTAT 2008, 2008, pp 35-42 from Springer

Abstract: Abstract The work of research and applied statisticians is driven by both manual and electronic computation. This computation, which supports our work, can be crudely described by 3 stages: scoping, to assess what can and needs to be done; analysis, where this is accomplished; and reporting, which communicates the results to others. Barriers to the reuse of computations can be found in the translational needs driving the transition between sub-activities; for example, scoping activities are seldom directly reusable during analysis, and there is a limited amount of direct reuse going from analysis to reporting. There is an additional high barrier for translating statistical theory and methodology to practical activities, with both sides (applied and theoretical statisticians) pointing the blame at the other for not using appropriate tools or addressing appropriate needs. In this sense, much statistical research is not really computable, but rather, translatable. This work describes some proposals for exploring novel information technology support to address the translational challenges during transition between stages of statistical practice. These are illustrated in the on-going design of CommonLisp Stat, a platform for investigating the interaction between statistical computing environments supporting research and/or practice.

Keywords: statistical computing; Lisp; expressible research (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2084-3_3

Ordering information: This item can be ordered from
http://www.springer.com/9783790820843

DOI: 10.1007/978-3-7908-2084-3_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().