Cite

Andersen, R., J. Kasper, M.R. Frankel, and Associates. 1979. Total Survey Error: Applications to Improve Health Surveys. San Francisco: Jossey-Bass.Search in Google Scholar

Beaumont, J.-F., C. Bocci, and D. Haziza. 2014. “An Adaptive Data Collection Procedure for Call Prioritization.” Journal of Official Statistics 30: 607–621. Doi: http://dx.doi.org/10.2478/jos-2014-0040.Search in Google Scholar

Bethlehem, J.G. and H.M.P. Kersten. 1985. “On the Treatment of Nonresponse in Sample Surveys.” Journal of Official Statistics 1: 287–300.Search in Google Scholar

Biemer, P.P. and L. Lyberg, eds. 2010. “Special Issue: Total Survey Error.” Public Opinion Quarterly 74(5).10.1093/poq/nfq058Search in Google Scholar

Brackstone, G. 1999. “Managing Data Quality in a Statistical Agency.” Survey Methodology 25: 139–149.Search in Google Scholar

Chang, T. and P. Kott. 2008. “Using Calibration Weighting to Adjust for Nonresponse under a Plausible Model.” Biometrika 95: 555–571. Available at: http://www.jstor.org/stable/20441486 (accessed March 2016).10.1093/biomet/asn022Search in Google Scholar

Eltinge, J.L., P.P. Biemer, and A. Holmberg. 2013. “A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems.” Journal of Official Statistics 29: 125–145. Doi: http://dx.doi.org/10.2478/jos-2013-0007.Search in Google Scholar

Groves, R.M. 1989. Survey Errors and Survey Costs. New York: Wiley.10.1002/0471725277Search in Google Scholar

Groves, R.M. and S. Heeringa. 2006. “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society, Series A 169: 439–457. Doi: http://dx.doi.org/10.1111/j.1467-985X.2006.00423.x.Search in Google Scholar

Johnson, T., D. O’Rourke, and E. Severns. 1998. “Effects of Question Context and Response Order on Attitude Questions.” Proceedings of the Section on Survey Research Methods, American Statistical Association, 857–860.Search in Google Scholar

Little, R.J.A. 1993. “Post-stratification: A Modeler’s Perspective.” Journal of the American Statistical Association 88: 1001–1012.10.1080/01621459.1993.10476368Search in Google Scholar

Little, R.J.A. and D.B. Rubin. 2002. Statistical Analysis with Missing Data, 2nd ed. Hoboken, NJ: Wiley.10.1002/9781119013563Search in Google Scholar

Sakshaug, J.W. and M. Huber. 2016. “An Evaluation of Panel Nonresponse and Linkage Consent Bias in a Survey of Employees in Germany.” Journal of Survey Statistics and Methdology 4: 71–93.10.1093/jssam/smv034Search in Google Scholar

Särndal, C-E., B. Swensson, and J. Wretman. 1992. Model-Assisted Survey Sampling. New York: Springer.10.1007/978-1-4612-4378-6Search in Google Scholar

Valliant, R., F. Hubbard, S. Lee, and C. Chang. 2014. “Efficient Use of Commercial Lists in U.S. Household Sampling.” Journal of Survey Statistics and Methodology 2: 182–209.10.1093/jssam/smu006554269328781972Search in Google Scholar

Weisberg, H.F. 2005. The Total Survey Error Approach: A Guide to the New Science of Survey Research. Chicago: University of Chicago Press.10.7208/chicago/9780226891293.001.0001Search in Google Scholar

eISSN:
2001-7367
Language:
English
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Mathematics, Probability and Statistics