Document Detail


Inference for the physical sciences.
MedLine Citation:
PMID:  23277613     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
There is a disconnect between developments in modern data analysis and some parts of the physical sciences in which they could find ready use. This introduction, and this issue, provides resources to help experimental researchers access modern data analysis tools and exposure for analysts to extant challenges in physical science. We include a table of resources connecting statistical and physical disciplines and point to appropriate books, journals, videos and articles. We conclude by highlighting the relevance of each of the articles in the associated issue.
Authors:
Nick S Jones; Thomas J Maccarone
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Publication Detail:
Type:  Introductory Journal Article     Date:  2012-12-31
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  371     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-01     Completed Date:  2013-03-07     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20120493     Citation Subset:  -    
Affiliation:
Department of Mathematics, Imperial College, London SW7 2AZ, UK. nick.jones@imperial.ac.uk
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