Acceso abierto

From Quality to Information Quality in Official Statistics

Journal of Official Statistics's Cover Image
Journal of Official Statistics
Special Section on The Role of official Statistics in Statistical Capacity Building

Cite

Banks, D. 2011. “Reproducible Research: A Range of Response.” Statistics, Politics, and Policy 2: 2151-7509. Doi: http://dx.doi.org/10.2202/2151-7509.1023.10.2202/2151-7509.1023Search in Google Scholar

Biemer, P. and L. Lyberg. 2003. Introduction to Survey Quality. Hoboken: John Wiley and Sons.10.1002/0471458740Search in Google Scholar

Biemer, P.P., D. Trewin, H. Bergdahl, L. Japec, and A ° . Pettersson. 2012. A Tool for Managing Product Quality. Eur. Conf. Quality in Official Statistics, Athens.Search in Google Scholar

Citro, C.F. and M.L. Straf. 2006. Principles and Practices for a Federal Statistical Agency: Fifth Edition, The National Washington, DC: Academies Press.Search in Google Scholar

Dalla Valle, L. 2014. “Official Statistics Data Integration Using Copulas.” Quality Technology and Quantitative Management 11: 111-131. Doi: http://dx.doi.org/10.1080/16843703.2014.11673329.10.1080/16843703.2014.11673329Search in Google Scholar

Dalla Valle, L. and R.S. Kenett. 2015. “Official Statistics Data Integration to Enhanced Information Quality.” Quality and Reliability Engineering International 31: 1281-1300. Doi: http://dx.doi.org/10.1002/qre.1859.10.1002/qre.1859Search in Google Scholar

Deming, W.E. 1982. Out of the Crisis. Cambridge: MIT Press.Search in Google Scholar

Drummond, C. 2009. “Replicability is not Reproducibility: Nor is it Good Science.” In Proceedings of the Evaluation Methods for Machine Learning Workshop at the 26th ICML, June 14-18, Montreal, Canada. Available at: https://www.researchgate.net/publication/228709155_Replicability_is_Not_Reproducibility_Nor_is_It_Good_Science (accessed September 5, 2016).Search in Google Scholar

EPA. 2005. Uniform Federal Policy for Quality Assurance Project Plans: Evaluating, Assessing, and Documenting Environmental Data Collection and Use Programs. Available at: www.epa.gov/fedfac/pdf/ufp_qapp_v1_0305.pdf (accessed 20 October, 2015).Search in Google Scholar

Eurostat. 2003. Standard Quality Report. Luxembourg: Eurostat.Search in Google Scholar

Eurostat. 2009. Handbook for Quality Reports. Luxembourg: Eurostat.Search in Google Scholar

Figini, S., R.S. Kenett, and S. Salini. 2010. “Optimal Scaling for Risk Assessment: Merging of Operational and Financial Data.” Quality and Reliability Engineering International 26: 887-897. Available at: http://onlinelibrary.wiley.com/doi/10.1002/qre.1158/full (accessed September 2016).10.1002/qre.1158Search in Google Scholar

Forbes, S. and D. Brown. 2012. “Conceptual Thinking in National Statistics Offices.” Statistical Journal of the IAOS 28: 89-98. Doi: http://dx.doi.org/10.3233/SJI-2012-0751.Search in Google Scholar

Foresti, G., F. Guelpa, and S. Trenti. 2012. “Enterprise in a Globalised Context and Public and Private Statistical Setups.” Proceedings of the 46th Scientific Meeting of the Italian Statistical Society. (SIS), June 20-22, Rome. Available at: http://meetings.sis-statistica.org/index.php/sm/sm2012/paper/viewFile/2393/267 (accessed 22 September, 2016)Search in Google Scholar

Giovanini, E. 2008. Understanding Economic Statistics. Paris: OECD Publishing. Available at: https://www.oecd.org/std/41746710.pdf (accessed 22 October, 2016).Search in Google Scholar

Hambleton, R.K. 2002. “How Can We Make NAEP and State Test Score Reporting Scales and Reports More Understandable?” In Assessment in educational reform, edited by R.W. Lissitz and W.D. Schafer. 192-205. Boston, MA: Allyn & Bacon.Search in Google Scholar

ISO/TS 10004. 2010 (E). Quality Management -- Customer Satisfaction -- Guidelines for Monitoring and Measuring, First Edition, the International Organization for Standardization, Geneva, Switzerland.Search in Google Scholar

Kenett, R.S. 2008. “From Data to Information to Knowledge.” Six Sigma Forum Magazine: 32-33.Search in Google Scholar

Kenett, R.S. and Y. Raanan. 2010. Operational Risk Management: A Practical Approach to Intelligent Data Analysis. Chichester, UK: John Wiley and Sons.10.1002/9780470972571Search in Google Scholar

Kenett, R.S. and S. Salini. 2012. Modern Analysis of Customer Satisfaction Surveys: With Applications Using R. Chichester, UK: John Wiley and Sons.10.1002/9781119961154Search in Google Scholar

Kenett, R.S. and G. Shmueli. 2014. “On Information Quality (with discussion).” Journal of the Royal Statistical Society, Series A 177: 3-38.10.1111/rssa.12007Search in Google Scholar

Kenett, R.S. and G. Shmueli. 2015. “Clarifying the Terminology that Describes Scientific Reproducibility (correspondence).” Nature Methods 12: 699. Doi: http://dx.doi.org/10.1038/nmeth.3489.10.1038/nmeth.348926226358Search in Google Scholar

Kenett, R.S. and G. Shmueli. 2016. Information Quality: The Potential of Data and Analytics to Generate Knowledge. Chichester, UK: John Wiley and Sons.10.1002/9781118890622Search in Google Scholar

Kenett, R.S. and S. Zacks. 2014. Modern Industrial Statistics: With Applications in R, MINITAB and JMP. Chichester, UK: John Wiley and Sons.10.1002/9781118763667Search in Google Scholar

McNutt, M. 2014. “Reproducibility.” Science 343: 229. Doi: http://dx.doi.org/10.1126/science.1250475.10.1126/science.125047524436391Search in Google Scholar

Office for National Statistics 2007. Guidelines for measuring statistical quality. London: Office for National Statistics.Search in Google Scholar

Penny, R.N. and M. Reale. 2004. “Using Graphical Modelling in Official Statistics.” Quaderni di Statistica 6: 31-48. Available at: http://www.labstat.it/home/wp-content/uploads/2015/03/reale.pdf (accessed September 2016).Search in Google Scholar

Rasch, G. 1977. “On Specific Objectivity: An Attempt at Formalizing the Request for Generality and Validity of Scientific Statements.” The Danish Yearbook of Philosophy 14: 58-93.10.1163/24689300-01401006Search in Google Scholar

Statistics Canada 2002. Statistics Canada’s quality assurance framework. Ottawa: Statistics Canada.Search in Google Scholar

UK Department of Health 2004. A strategy for NHS information quality assurance-consultation draft. London: Department of Health.Search in Google Scholar

Vicard, P. and M. Scanu. 2012. “Applications of Bayesian Networks in Official Statistics.” In Advanced Statistical Methods for the Analysis of Large Data-Sets, edited by A. di Ciaccio, M. Coli, and J.M. Angulo Ibanez. 113-123. Berlin: Springer Verlag.10.1007/978-3-642-21037-2_11Search in Google Scholar

eISSN:
2001-7367
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Mathematics, Probability and Statistics