1540.0 - Quality Management of Statistical Processes Using Quality Gates, Dec 2010  
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 23/12/2010  First Issue
   Page tools: Print Print Page Print all pages in this productPrint All


ABS (Australian Bureau of Statistics) 2009, ABS Data Quality Framework, May 2009 , cat. no. 1520.0, ABS, Canberra. Website address: https://www.abs.gov.au/AUSSTATS/abs@.nsf/productsbyCatalogue/B0A707C93F279F14CA2575AB008256FE?OpenDocument

ABS 2009, Quality Gates in the Integrated Collection Branch, April 2009, Internal ABS paper, ABS, Canberra.

Barr, S 2009,"Performance Measure Blueprint Workshop: Template 3: measure definition", Stacey Barr Pty Ltd, Samford.

Brackstone G 1999, "Managing Data Quality in a Statistical Agency", Survey Methodology, Vol 25, No. 2, Statistics Canada, Ottawa.

Eurostat 2009, "Guidelines for the implementation of quality assurance frameworks for international and supranational organizations compiling statistics", Committee for the Coordination of Statistical Activities, Fourteenth Session, November 2009, pp. 7, Bangkok. Website address: http://unstats.un.org/unsd/accsub/2009docs-14th/SA-2009-12-Add1-QAF.pdf

ISO (International Organisation for Standardisation) 2009, International Risk Management Guidelines, 2009, (ISO 31000:2009), ISO, Geneva. Website address: http://www.iso.org/iso/catalogue_detail.htm?csnumber=43170

McKinsey & Company n.d., "Quality gates: Successfully shaping the product development process", Website address: http://www.mckinsey.com/clientservice/automotiveassembly/qualitygates.asp

NSS (National Statistical Services) 2010, Data Quality Online, NSS, Canberra. Website address: http://www.nss.gov.au/dataquality/resources.jsp

Schubert, P, Guiver, T, MacDonald R, and Yu, F 2006, "Using Quality Measures to Manage Statistical Risks in Business Surveys", Proceedings of the Q2006 European Conference on Quality in Survey Statistics, Cardiff.

UNECE (United Nations Economic Commission for Europe) Secretariat 2009, Generic Statistical Business Process Model, Version 4, April 2009, UNECE, Geneva. Website address: http://www1.unece.org/stat/platform/display/metis/The+Generic+Statistical+Business+Process+Model

Back to top of the page