[Australian Bureau of Statistics (2012). International Collaboration Effort - Statistical Network Progress Report. Paper presented by Brian Pink at the meeting of Directors General of participating countries Australia, New Zealand, Norway, Sweden, Canada, UK in New York, February 2012.]Search in Google Scholar
[Biemer, P.P. (2010). Total Survey Error: Design, Implementation and Evaluation. Public Opinion Quarterly, 74, 817-848.10.1093/poq/nfq058]Search in Google Scholar
[Bisgaard, S. and Pinho, A. (2003). Follow-Up Experiments to Verify Dispersion Effects: Taguchi’s Welding Experiment. Quality Engineering, 16, 335-343.10.1081/QEN-120024023]Search in Google Scholar
[Borowik, J., Henden, M., and Fraser, B. (2012). Riding the Big Data Wave to Streamline Acquiring and Managing Data. Meeting on the Management of Statistical Information Systems (MSIS 2012). Washington, DC, 21-23 May 2012.]Search in Google Scholar
[Box, George E.P. (1957). Evolutionary Operation: A Method for Increasing Industrial Productivity, Journal of the Royal Statistical Society. Series C (Applied Statistics). Vol. 6, No. 2 (June 1957), 81-101.]Search in Google Scholar
[Box, G.E.P. and Draper, N.R. (1969). Evolutionary Operation. New York: Wiley.]Search in Google Scholar
[Braaksma, B. (2009). Redesigning a Statistical Institution: the Dutch Case. In Proceedings of Modernisation of Statistics Production. International conference organised by Statistics Sweden, Stockholm, 2-4 November 2009. Available at: http://www.scb.se/Grupp/Produkter_Tjanster/Kurser/ModernisationWorkshop/final_papers/H_2_business_models_Braaksma_final.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Brackstone, G. (1999). Managing Data Quality in a Statistical Agency. Survey Methodology, 25, 139-149.]Search in Google Scholar
[Brenneman, W.A. and Nair, V.N. (2001). Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments: A Critical Analysis and Proposed Strategies. Technometrics, 43, 388-405.10.1198/00401700152672483]Search in Google Scholar
[Calinescua, M., Bhulaia, S., and Schouten, B. (2013). Optimal Resource Allocation in Survey Designs. European Journal of Operational Research, 21, 115-121.10.1016/j.ejor.2012.10.046]Search in Google Scholar
[Camstra, A. and Renssen, R. (2011). Standard Process Steps Based on Standard Methods as a Part of the Business Architecture. 58th Congress of the International Statistical Institute. Dublin, 21-26 August 2011.]Search in Google Scholar
[Carly-Baxter, L., Mitchell, S., and Peytchev, A. (2011). Developing and Implementing Adaptive Total Design. Presented at the 2011 International Field Directors and Technologies Conference (IFD&TC), Scottsdale, AZ. Available at: http://www.ifdtc.org/PC2011/presentation_2011_files/3A-Lisa%20Carley-Baxter.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Chief Information Officers Council CIOC (1999). Federal Enterprise Architecture Framework. Version 1.1, Chief Information Officers Council, September 1999.]Search in Google Scholar
[Chief Information Officers Council CIOC (2001). A Practical Guide to Federal Enterprise Architecture. Version 1.0, Chief Information Officers Council, February 2001. ]Search in Google Scholar
[Couper, M. (1998). Measuring Survey Quality in a CASIC Environment. In: Proceedings of the Section on Survey Research Methods, American Statistical Association.]Search in Google Scholar
[Cunningham-Hunter, D., Mitchell, S., Carley-Baxter, L., and Keating, M. (2012). Using Paradata to Monitor Survey Production, Cost, and Quality within an Adaptive Total Design Framework. Paper presented at the 2012 Federal Conference on Survey Methodology, Washington, DC. Available at: http://www.fcsm.gov/12papers/Hunter_2012FCSM_V-C.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Dunnet, G. (2007). The BmTS: Creating a new business model for a national statistical office of the 21st century. Invited paper at the UNECE/Eurostat /OECD Meeting on the Management of Statistical Information Systems (MSIS). Geneva, 8-10 May 2007. Available at: http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.50/2007/mtg1/wp.11.e.pdf. (accessed February 13, 2013).]Search in Google Scholar
[Eltinge, J.L. (2012). Doing More with Less: Balancing Survey Cost, Quality, Risk and Stakeholder Utility. Presentation at the Fourth International Conference on Establishment Surveys, Montreal, Canada.]Search in Google Scholar
[Eltinge, J.L. and Phipps, P.A. (2009). Characterization, Evaluation and Management of Prospective Benefits, Costs and Risks in the Development of New Statistical Programs for Energy. Proceedings of the Section on Survey Research Methods, Joint Statistical Meetings.]Search in Google Scholar
[European Commission (2009). Communication from the Commission to the European Parliament and the Council on the production method of EU statistics: a vision for the next decade, Document COM(2009)404. Available at: http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uriCOM:2009:0404:FIN:EN:PDF. (accessed February 12, 2013).]Search in Google Scholar
[Field, S. (2009). From Red to Green: The role of Enterprise Architecture in the ONS Corporate IT Strategy. UNECE/Eurostat/OECD Meeting on the Management of Statistical Information Systems (MSIS 2009). Oslo, Norway, 18-20 May 2009.]Search in Google Scholar
[Finselbach, H. (2011). Implementing Standardised Systems, Processes, Tools and Methods with the ONS Design Charter. 58th Congress of the International Statistical Institute. Dublin, 21-26 August 2011.]Search in Google Scholar
[Gloersen, R. and Saeboe, V. (2009). Standardisation for Improvements in Statistics Norway. In Proceedings of Modernisation of Statistics Production International conference organised by Statistics Sweden, Stockholm, 2-4 November 2009. Available at: http://www.scb.se/Grupp/Produkter_Tjanster/Kurser/ModernisationWorkshop/final_papers/H_1_business_models_Gloersen.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Groves, R.M. (1989). Survey Errors and Survey Costs. New York: John Wiley & Sons.10.1002/0471725277]Search in Google Scholar
[Groves, R.M. and Heeringa, S. (2006). Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs. Journal of the Royal Statistical Society Series A: Statistics in Society, 169(Part 3), 439-457.10.1111/j.1467-985X.2006.00423.x]Search in Google Scholar
[Groves, R.M. and Lyberg, L. (2010). Total Survey Error: Past, Present and Future. Public Opinion Quarterly, 74, 849-879.10.1093/poq/nfq065]Search in Google Scholar
[Hahn, G.J. (1982). Statistical Assessment of a Process Change. Journal of Quality Technology, 14, 1-9.10.1080/00224065.1982.11978778]Search in Google Scholar
[Hall, J.M. and Johnson, M.E. (2009). When Should a Process be Art, not Science. Harvard Business Review, March 2009 issue, 58-64. Hamilton, A. and Tam, S.-M. (2012a). Toward GSIM V1.0 as a Cornerstone for Common Reference Architecture. Meeting on the Management of Statistical Information Systems (MSIS 2012). Washington, DC, 21-23 May 2012.]Search in Google Scholar
[Hamilton, A. and Tam, S.-M. (2012b). Platform for International Collaboration - Preliminary Thoughts From the ABS. Meeting on the Management of Statistical Information Systems (MSIS 2012). Washington, DC, 21-23 May 2012.]Search in Google Scholar
[Jug, M. (2009). Uptake of Service Oriented Architecture in Statistics - Are We Really So Different? In Proceedings of Modernisation of Statistics Production International conference organised by Statistics Sweden, Stockholm, 2-4 November 2009. Available at: http://www.scb.se/Grupp/Produkter_Tjanster/Kurser/ModernisationWorkshop/final_papers/C_1_SOA_Jug_final.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Kreuter, F., Olson, K., Wagner, J., Yan, T., Ezzati-Rice, T.M., Casas-Cordero, C., Lemay, M., Peytchev, A., Groves, R.M., and Raghunathan, T.E. (2010). Using Proxy Measures and Other Correlates of Survey Outcomes to Adjust for Nonresponse: Examples from Multiple Surveys. Journal of the Royal Statistical Society, Series A, 173, 389-407.10.1111/j.1467-985X.2009.00621.x]Search in Google Scholar
[Laflamme, F., Pasture, T., Talon, J., Maydan, M., and Miller, A. (2008). Using Paradata to Actively Manage Data Collection, Proceedings of the ASA Survey Methods Research Section, Denver, Colorado.]Search in Google Scholar
[Linacre, S. (2011). Standardising Methods and Tools: A Look Back Over 30-Plus Years of Experience. Paper presented at Statistics Canada Symposium 2011.]Search in Google Scholar
[Lyberg, L. (2012). Survey Quality. Waksberg Memorial Lecture delivered at the Fourth International Conference on Establishment Surveys, 14 June 2012.]Search in Google Scholar
[MIT (2004). Engineering Systems Division Architecture Committee: The Influence of Architecture in Engineering Systems. Paper presented at the Engineering Systems Symposium, MIT, Cambridge MA, USA, 29-31 March 2004. Available at: http://esd.mit.edu/symposium/monograph/default.htm. (accessed February 12, 2013).]Search in Google Scholar
[Munoz-Lopez, J. (2012). Value of Systems Architecture for Statistical Organizations.]Search in Google Scholar
[Meeting on the Management of Statistical Information Systems (MSIS 2012). Washington, DC, 21-23 May 2012.]Search in Google Scholar
[OMB (2009). Improving Agency Performance Using Information and Information Technology EA Assessment Framework v3.1, Office of Management and Budget. June 2009.]Search in Google Scholar
[Penneck, S. (2009). The Office for National Statistics (ONS) Statistical Modernisation Programme: What Went Right? What Went Wrong? In Proceedings of Modernisation of Statistics Production, International conference organised by Statistics Sweden, Stockholm, 2-4 November 2009. Available at: http://www.scb.se/Grupp/Produkter_Tjanster/Kurser/ModernisationWorkshop/final_papers/D_1_management_ Penneck_final.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Pink, B., Borowik, J., and Lee, G. (2010). The Case for an International Statistical Innovation Program -Transforming National and International Statistics Systems. Statistical Journal of the International Association for Official Statistics (IAOS), 26, Number 3-4. Available at: http://iospress.metapress.com/content/2h5764574t6318r4/fulltext.html. (accessed February 12, 2013). ]Search in Google Scholar
[Renssen, R. and Van Delden, A. (2008). Standardisation of Design and Production of Statistics; A Service Oriented Approach at Statistics Netherlands. Paper presented at the IAOS Congress Reshaping Official Statistics, Shanghai, October 2008.]Search in Google Scholar
[Renssen, R., Wings, J., and Paulussen, R. (2009). Processes, Methods and Tools. Statistics Netherlands internal report. Available at: http://www.cbs.nl/NR/rdonlyres/8EFDD386-0FD9-4567-90BC-6ADAB5C67B3D/0/2009Processesmethodsandtoolsart.pdf. (accessed February 12, 2013.).]Search in Google Scholar
[Rozanski, N. and Woods, E. (2005). Software Systems Architecture. New Jersey, United States of America: Addison Wesley.]Search in Google Scholar
[Schouten, B., Calinescu, M., and Luiten, A. (2011). Optimizing Quality of Response Through Adaptive Survey Designs, Statistics Netherlands, Available at: http://www.cbs.nl/NR/rdonlyres/2D62BF4A-6783-4AC4-8E45-12EF20C6675C/0/2011x1018.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Sowa, J.F. and Zachman, J. (1992). Extending and Formalizing the Framework for Information Systems Architecture, IBM Systems Journal, 31.10.1147/sj.313.0590]Search in Google Scholar
[Statistics Canada (2012). Corporate Business Plan - Statistics Canada - 2012-13 to 2014-15. Available at: http://www.statcan.gc.ca/about-apercu/business-plan-affaires_2012-2015-eng.htm. (accessed February 12, 2013).]Search in Google Scholar
[Studman, B. (2010). A Collaborative Development Approach to Agile Statistical Processing Architecture - Australian Bureau of Statistics (ABS) Experience and Aspirations. UNECE/Eurostat/OECD Meeting on the Management of Statistical Information Systems (MSIS 2010). Daejeon, Republic of Korea, 26-29 April 2010.]Search in Google Scholar
[Sundgren, B. (2007). Process Reengineering at Statistics Sweden. From UNECE/Eurostat /OECD Meeting on the Management of Statistical Information Systems (MSIS). Geneva, 8-10 May 2007. Available at: http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.50/2007/mtg1/wp.22.e.pdf. (accessed February 13, 2013).]Search in Google Scholar
[Sundgren, B. (2010). The Systems Approach to Official Statistics. In Official Statistics Methodology and Applications in Honour of Daniel Thorburn. Stockholm University, Stockholm. 225-260. Available at: http://officialstatistics.files.wordpress.com/2010/05/bok18.pdf. (accessed February 12, 2013).]Search in Google Scholar
[Sundgren, B. (2011). Towards a System of Official Statistics Based on a Coherent Combination of Data Sources, Including Surveys and Administrative Data. Available at: https://sites.google.com/site/bosundgren/my-life/Towardsasystemofofficialstatisticsbasedonacoherentcombinationofdatasources.doc?attredirects¼0. (accessed February 12, 2013).]Search in Google Scholar
[The Open Group (2009). The Open Group Architecture Framework (TOGAF), Version 9.]Search in Google Scholar
[The Open Group: San Francisco, CA. Available from: http://www.togaf.info/. (accessed February 12, 2013).]Search in Google Scholar
[Todorov, V. (2011). Cooperation Models for Software Development. Meeting on the Management of Statistical Information Systems (MSIS 2011). Luxembourg, 23-25 May 2011.]Search in Google Scholar
[United Nations Economic Commission for Europe, UNECE (2011). Strategic Vision of the High-level Group for Strategic Developments in Business Architecture in Statistics. ECE/CES/2011/1. Economic Commission for Europe, Conference for European Statisticians, Geneva, 14-16 June 2011. United Nations Economic Commission for Europe, UNECE (2012a). Strategy to implement the vision of the High-level Group for Strategic Developments in Business Architecture in Statistics. ECE/CES/2012/10. Economic Commission for Europe, Conference for European Statisticians, Paris 6-8 June 2012.]Search in Google Scholar
[United Nations Economic Commission for Europe, UNECE (2012b). The Generic Statistical Information Model (GSIM): Version 0.8. Available at: http://www1.unece.org/stat/platform/display/metis/GSIMþv0.8. (accessed February 12, 2013).]Search in Google Scholar
[Vaccari, C. (2009). Common Reference Architecture (CORA) ESSnet: history and next activities, paper presented at the Meeting on the Management of Statistical Information Systems (MSIS 2009). Oslo, Norway, 18-20 May 2009. Available at: http://www.unece.org/stats/documents/2009.05.msis.htm. (accessed February 12, 2013).]Search in Google Scholar
[Vale, S. (2009). The Generic Statistical Business Process Model, Version 4.0. Available at: http://www1.unece.org/stat/platform/display/metis/TheþGenericþStatisticalþBusinessþProcessþModel. (accessed February 12, 2013).]Search in Google Scholar
[Wagner, J. (2008). Adaptive Survey Design to Reduce Nonresponse Bias. Unpublished Ph.D. dissertation, University of Michigan, Ann Arbor, MI. ]Search in Google Scholar
