Cite

Adiguzel, F. and M. Wedel. 2008. “Split Questionnaire Design for Massive Surveys.” Journal of Marketing Research 45: 608–617. Doi: http://dx.doi.org/10.1509/jmkr.45.5.608.Search in Google Scholar

Angelis, L., E. Bora-Senta, and C. Moyssiadis. 2001. “Optimal Exact Experimental Designs with Correlated Errors Through a Simulated Annealing Algorithm.” Computational Statistics & Data Analysis 37: 275–296. Doi: http://dx.doi.org/doi:10.1016/S0167-9473(01)00011-1.Search in Google Scholar

Australian Bureau of Statistics. 2012. Household Expenditure Survey and Survey of Income and Housing, User Guide. Australia, 2009-10 (cat. no. 6503.0). Available at: http://www.abs.gov.au/ausstats/abs@.nsf/mf/6503.0 (accessed April 2016).Search in Google Scholar

Berkelaar, M., et al. 2013. lpSolve: Interface to Lp_solve v. 5.5 to solve linear/integer programs. R package version 5.6.10. Available at: http://CRAN.R-project.org/package=lpSolve (accessed August 2013).Search in Google Scholar

Blum, C. and A. Roli. 2003. “Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison.” ACM Computing Surveys 35: 268–308. Doi:http://dx.doi.org/10.1145/937503.937505.Search in Google Scholar

Chipperfield, J.O. and D.G. Steel. 2009. “Design and Estimation for Split Questionnaire Designs.” Journal of Official Statistics 25: 227–244.Search in Google Scholar

Chipperfield, J.O. and D.G. Steel. 2011. “Efficiency of Split Questionnaire Surveys.” Journal of Statistical Planning and Inference 141: 1925–1925. Doi: http://dx.doi.org/10.1016/j.jspi.2010.12.003.Search in Google Scholar

Chipperfield, J.O., M. Barr, and D.G. Steel. 2013. “Split Questionnaire Designs: Are They an Efficient Design Choice?” In Proceedings of the 59th ISI World Statistics Congress, 25–30 August 2013, Hong Kong. 311–316. Available at: http://2013.isiproceedings.org/Files/IPS033-P1-S.pdf (accessed June 2015).Search in Google Scholar

Cicirello, V.A. 2007. “On the Design of an Adaptive Simulated Annealing Algorithm.” In First Workshop on Autonomous Search, in conjunction with CP’2007, Providence, Rhode Island, USA.Search in Google Scholar

Cochran, W.G. 1977. Sampling Techniques. New York: Wiley.Search in Google Scholar

Cook, R.D. and C.J. Nachtsheim. 1980. “A Comparison of Algorithms for Constructing Exact D-optimal Designs.” Technometrics 22: 315–324. Doi: http://dx.doi.org/10.1080/00401706.1980.10486162.Search in Google Scholar

Cuppen, M.D.J., P. van der Laan, and W. van Nunspeet. 2013. “Reengineering Dutch Social Surveys: From Single-Purpose Surveys to an Integrated Design.” Statistical Journal of the International Association for Official Statistics 29: 21–29. Doi: http://dx.doi.org/10.3233/SJI-130762.Search in Google Scholar

European Commission. 2009. Communication on the Production Method of EU Statistics: A Vision for the Next Decade. Brussels: European Commission (COM(2009)/404). Available at: http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2009:0404:FIN:EN:PDF (accessed January 2015).Search in Google Scholar

European Statistical System Committee (ESSC). 2011. New Conceptual Design for Household and Social Statistics. Wiesbaden, Germany. Available at: https://www.destatis.de/EN/AboutUs/Events/DGINS/Document_Memorandum.pdf (accessed January 2015).Search in Google Scholar

Gambino, J.G. 2009. “Design Effects Caveats.” The American Statistician 63: 141–146.10.1198/tast.2009.0028Search in Google Scholar

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

Hajek, B. 1988. “Cooling Schedules for Optimal Annealing.” Mathematics of Operations Research 13: 311–329. Doi: http://dx.doi.org/10.1287/moor.13.2.311.Search in Google Scholar

Jansen, J., R.C.M.H. Douven, and E.E.M. van Berkum. 1992. “An Annealing Algorithm for Searching Optimal Block Designs.” Biometrical Journal 34: 529–538. Doi: http://dx.doi.org/10.1002/bimj.4710340503.Search in Google Scholar

Karlberg, M., F. Reis, C. Calizzani, and F. Gras. 2015. “A Toolbox for a Modular Design and Pooled Analysis of Sample Survey Programmes.” Statistical Journal of the International Association for Official Statistics 31: 447–462. Doi: http://dx.doi.org/10.3233/SJI-150913.Search in Google Scholar

Kirkpatrick, S., C.D. Gelatt, Jr., and M.P. Vecchi. 1983. “Optimization by Simulated Annealing.” Science 220: 671–680.10.1126/science.220.4598.671Search in Google Scholar

Kullback, S. and L.A. Leibler. 1951. “On Information and Sufficiency.” Annals of Mathematical Statistics 22: 79–86. Available at: http://www.jstor.org/stable/2236703.10.1214/aoms/1177729694Search in Google Scholar

Lam, J. and J. Delosme. 1988. “Performance of a New Annealing Schedule.” In Proceedings of the 25th ACM/IEEE Design Automation Conference. 12–15 June 1988, Anaheim, CA, U.S.A. 306–311.Search in Google Scholar

Lejeune, M.A. 2003. “Heuristic Optimization of Experimental Designs.” European Journal of Operational Research 147: 484–498. Doi: http://dx.doi.org/10.1016/S0377-2217(02)00292-8.Search in Google Scholar

Merkouris, T. 2004. “Combining Independent Regression Estimators from Multiple Surveys.” Journal of the American Statistical Association 99: 1131–1139. Doi: http://dx.doi.org/10.1198/016214504000000601.Search in Google Scholar

Merkouris, T. 2010. “An Estimation Method for Matrix Survey Sampling.” In Proceedings of the Section on Survey Research Methods: American Statistical Association, July 31 to August 5, 2010, Vancouver, Canada. 4880–4886. Available at: https://www.amstat.org/Sections/Srms/Proceedings/y2010/Files/308769_61580.pdf (accessed March 2016).Search in Google Scholar

Merkouris, T. 2013. “Composite Calibration Estimation Integrating Data from Different Surveys.” In Proceedings of the 59th ISI World Statistics Congress, 25–30 August 2013, Hong Kong. 205–210. Available at: http://2013.isiproceedings.org/Files/IPS020-P3-S.pdf (accessed March 2016).Search in Google Scholar

Merkouris, T. 2015. “An Efficient Estimation Method for Matrix Survey Sampling.” Survey Methodology 41: 237–262.Search in Google Scholar

Meyer, R.K. and C.J. Nachtsheim. 1988. “Constructing Exact D-optimal Experimental Designs by Simulated Annealing.” American Journal of Mathematical and Management Sciences 8: 329–359. Doi: http://dx.doi.org/10.1080/01966324.1988.10737244.Search in Google Scholar

Mitra, D., F. Romeo, and A. Sangiovanni-Vincentelli. 1986. “Convergence and Finite-Time Behavior of Simulated Annealing.” Advances in Applied Probability 18: 747–771.10.2307/1427186Search in Google Scholar

Park, I. and H. Lee. 2004. “Design Effects for the Weighted Mean and Total Estimators under Complex Survey Sampling.” Survey Methodology 30: 183–193.Search in Google Scholar

R Core Team. 2013. “R: A Language and Environment for Statistical Computing.” R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org/ (accessed March 2014).Search in Google Scholar

Raghunathan, T.E. and J.E. Grizzle. 1995. “A Split Questionnaire Survey Design.” Journal of the American Statistical Association 90: 54–63.10.1080/01621459.1995.10476488Search in Google Scholar

Reis, F. 2013. “Links Between Centralisation of Data Collection and Survey Integration in the Context of the Industrialisation of Statistical Production.” Working paper presented at the UNECE Seminar on Statistical Data Collection, 25–27 September, 2013, Geneva, Switzerland. Available at: https://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.44/2013/mgt1/WP2.pdf (accessed January 2015).Search in Google Scholar

Renssen, R.H. and N.J. Nieuwenbroek. 1997. “Aligning Estimates for Common Variables in Two or More Sample Surveys.” Journal of the American Statistical Association 92: 368–374. Doi: http://dx.doi.org/10.1080/01621459.1997.10473635.Search in Google Scholar

Smith, P. 2009. “Survey Harmonization in Official Household Surveys in the United Kingdom.” In Proceedings of the ISI World Statistical Congresses, 16–22 August 2009, Durban, South Africa.Search in Google Scholar

Tsallis, C. and D.A. Stariollo. 1996. “Generalized Simulated Annealing.” Physica A 233: 395–406. Doi: http://dx.doi.org/10.1016/S0378-4371(96)00271-3.Search in Google Scholar

UNSTATS 2005. Household Sample Surveys in Developing and Transition Countries. New York: United Nations (ST/ESA/STAT/SER.F/96.). Available at: http://unstats.un.org/unsd/hhsurveys/pdf/Household_surveys.pdf (accessed January 2015).Search in Google Scholar

eISSN:
2001-7367
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Probability and Statistics