A potential framework for integration of architecture and methodology to improve statistical production systems

Journal of Official Statistics

Volumn 29, Issue 1, 2013, Pages 125-145

  Eltinge, John L ^a   Biemer, Paul P ^b   Holmberg, Anders ^c  

^a BUREAU OF LABOR STATISTICS   (United States)

^b RTI INTERNATIONAL   (United States)

^c STATISTICS SWEDEN   (Sweden)

Author keywords

Adaptive Total Design (ATD); Cost and risk; Evolutionary Operation (EVOP); Generic Statistical Business Process Model (GSBPM); Paradata; Stakeholder utility; Survey quality; Total survey error

Indexed keywords

EID: 84875737920     PISSN: 0282423X     EISSN: None     Source Type: Journal    
DOI: 10.2478/jos-2013-0007     Document Type: Article

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