loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
18th International Conference on Scientific and Statistical Database Management (SSDBM'06)
Provenance and Reliability: Managing Metadata for Statistical Models
Vienna, Austria
July 03-July 05
ISBN: 0-7695-2590-3
Andrew Westlake, Imperial College London
In this paper we present a general model of the information (meta-data) needed to represent statistical modelling and its results. We discuss the design process for this model (in terms of both objectives and methodology), along with the resultant design. However, we recognise that it is not enough to design a static structure for the meta-data, we also need functionality to support the end users of the statistical results in exploring the provenance and reliability of the results. We have identified some generic functionality that is useful in this, but also recognise that its presentation must be tailored to the domain of interest and the level of understanding of the user.
Citation:
Andrew Westlake, "Provenance and Reliability: Managing Metadata for Statistical Models," ssdbm, pp.204-216, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.