References
- Baillargeon, S. and L.-P. Rivest. 2009. “A General Algorithm for Univariate Stratification.” International Statistical Review 77(3): 331-344. Doi: http://dx.doi.org/10.1111/j.1751-5823.2009.00093.x.10.1111/j.1751-5823.2009.00093.x
- Baillargeon, S. and L.-P. Rivest. 2011. “The Construction of Stratified Designs in R with the Package Stratification.” Survey Methodology 37(1): 53-65.
- Baillargeon, S. and L.-P. Rivest. 2014. “Stratification: Univariate Stratification of Survey Populations.” Available at: https://CRAN.R-project.org/package¼stratification, r package version 2.2-5 (accessed January 18, 2017).
- Ballin, M. and G. Barcaroli. 2013. “Joint Determination of Optimal Stratification and Sample Allocation Using Genetic Algorithm.” Survey Methodology 39(2): 369-393.
- Barcaroli, G. 2014. “Sampling Strata: An R Package for the Optimization of Stratified Sampling.” Journal of Statistical Software 61(4): 1-24. Available at: https://www.jstatsoft.org/article/view/v061i04/v61i04.pdf (accessed January 20, 2018).
- Benedetti, R., M. Bee, and G. Espa. 2010. “A Framework for Cut-Off Sampling in Business Survey Design.” Journal of Official Statistics 26(4): 651-671.
- Benedetti, R., G. Espa, and G. Lafratta. 2008. “A Tree-Based Approach to Forming Strata in Multipurpose Business Surveys.” Survey Methodology (34): 195-203.
- Benedetti, R. and F. Piersimoni. 2012. “Multivariate Boundaries of a Self Representing Stratum of Large Units in Agricultural Survey Design.” Survey Research Methods 6: 125-135. Doi: http://dx.doi.org/10.18148/srm/2012.v6i3.5127.10.18148/srm/2012.v6i3.5127
- Bethel, J.W. 1986. An Optimum Allocation Algorithm for Multivariate Surveys. Technical report, United States Department of Agriculture, Statistical Reporting Service. Available at: https://naldc.nal.usda.gov/naldc/download.xhtml?id=43260&content=PDF (accessed January 20, 2017).
- Boryan, C., Z. Yang, R. Mueller, and M. Craig. 2011. “Monitoring US Agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program.” Geocarto International 26: 341-358. Doi: http://dx.doi.org/10.1080/10106049.2011.562309.10.1080/10106049.2011.562309
- Brewer, K.R.W. 1963. “Ratio Estimation and Finite Populations: Some Results Deducible from the Assumption of an Underlying Stochastic Process.” Australian Journal of Statistics 5(3): 93-105. Doi: http://dx.doi.org/10.1111/j.1467-842X.1963.tb00288.x.10.1111/j.1467-842X.1963.tb00288.x
- Dalenius, T. and J.L.J. Hodges. 1959. “Minimum Variance Stratification.” Journal of the American Statistical Association 54: 88-101.
- Davies, C. 2009. Area Frame Design for Agricultural Surveys. Technical report, United States Department of Agriculture, National Agricultural Statistics Service. Available at: https://www.nass.usda.gov/Publications/Methodology_and_Data_Quality/Advanced_Topics/AREA%20FRAME%20DESIGN.pdf (accessed January 20, 2018).
- Day, C.D. 2009. “Evolutionary Algorithms for Optimal Sample Design.” A paper presented at the 2009 Federal Committee on Statistical Methodology Conference, November 4, 2009. Washington DC: Federal Committee on Statistical Methodology. Available at: https://fcsm.sites.usa.gov/files/2014/05/2009FCSM_Day_XI-A.pdf (accessed January 20, 2018).
- Freuder, E.C. and R.J. Wallace. 1992. “Partial Constraint Satisfaction.” Artificial Intelligence 58: 21-70. Doi: https://doi.org/10.1016/0004-3702(92)90004-H.10.1016/0004-3702(92)90004-
- Gentle, J. and C. Perry. 2000. “Optimal Stratification of Area Frames.” In Proceedings of the second international conference on establishment surveys - II, June 17-21, 2000. 1354-1382. Buffalo, NY: American Statistical Association. Available at: https://ww2.amstat.org/meetings/ices/2000/proceedings/S04.pdf (accessed January 20, 2018).
- Gonzalez, J.M. and J.L. Eltinge. 2010. “Optimal Survey Design: A Review.” In Proceedings of the Survey Research Methods Section of the American Statistical Association. Joint Statistical Meeting, October 4, 2010. 4970-83. Vancouver, BC: American Statistical Association. Available at: https://www.bls.gov/osmr/pdf/st100270.pdf (accessed January 20, 2018).
- Grafström, A. and J. Lisic. 2016. Balanced Sampling: Balanced and Spatially Balanced Sampling. Available at: https://CRAN.R-project.org/package=BalancedSampling, r package version 1.5.1. (accessed March 8, 2016).
- Grafström, A., N.L. Lundstro¨m, and L. Schelin. 2012. “Spatially Balanced Sampling through the Pivotal Method.” Biometrics 68: 514-520. Doi: http://dx.doi.org/10.1111/j.1541-0420.2011.01699.x.10.1111/j.1541-0420.2011.01699.x
- Gunning, P., J. Horgan, and W. Yancey. 2004. “Geometric Stratification of Accounting Data.” Contadurı´a y Administracio´n. Available at: http://www.ejournal.unam.mx/rca/214/RCA21401.pdf (accessed January 20, 2018).
- Hajek, B. 1988. “Cooling Schedules for Optimal Annealing.” Mathematics of Operations Research 13(2): 311-329. Doi: https://doi.org/10.1287/moor.13.2.311.10.1287/moor.13.2.311
- Henderson, D., S.H. Jacobson, and A.W. Johnson. 2003. “The Theory and Practice of Simulated Annealing.” In Handbook of Metaheuristics, edited by F. Glover and G.A. Kochenberger, 287-319. Boston, MA: Springer.
- Horgan, J.M. 2006. “Stratification of Skewed Populations: A Review.” International Statistical Review 74: 67-76. Doi: http://dx.doi.org/10.1111/j.1751-5823.2006.tb00161.x.10.1111/j.1751-5823.2006.tb00161.x
- Ioannidis, E., T. Merkouris, L.-C. Zhang, M. Karlberg, M. Petrakos, F. Reis, and P. Stavropoulos. 2016. “On a Modular Approach to the Design of Integrated Social Surveys.” Journal of Official Statistics 32(2): 259-286. Doi: https://doi.org/10.1515/jos-2016-0013.10.1515/jos-2016-0013
- Isaki, C.T. and W.A. Fuller. 1982. “Survey Design under the Regression Superpopulation Model.” Journal of the American Statistical Association 77(377): 89-96. Doi: http://dx.doi.org/10.2307/2287773.10.1080/01621459.1982.10477770
- Knuth, D.E. 1997. The Art of Computer Programming: Seminumerical Algorithms, volume 2. Addison-Wesley, 3 edition.
- Kott, P.S. and J.T. Bailey. 2000. “The Theory and Practice of Maximal Brewer Selection with Poisson PRN Sampling.” In Proceedings of the second international conference on establishment surveys - II, June 17-21, 2000. 269-304. Buffalo, NY: American Statistical Association. Available at: https://ww2.amstat.org/meetings/ices/2000/proceedings/S04.pdf (accessed January 20, 2018).
- Kozak, M. 2004. “Optimal Stratification Using Random Search Method in Agricultural Surveys.” Statistics in Transition 6(5): 797-806. Available at: http://omega.sggw.waw.pl/~m.kozak/SIT2004_6_5.pdf (accessed November 16, 2017).
- Kozak, M. 2006a. “Multivariate Sample Allocation: Application of Random Search Method.” Statistics in Transition 7(4): 889-900. Available at: https://www.researchgate.net/profile/Marcin_Kozak/publication/242329930_MULTIVARIATE_SAMPLE_ALLOCATION_APPLICATION_OF_RANDOM_SEARCH_METHOD/links/02e7e51cc8ede254cc000000.pdf (accessed November 16, 2017).
- Kozak, M. 2006b. “On Sample Allocation in Multivariate Surveys.” Communications in Statistics-Simulation and Computation 35: 901-910. Doi: http://dx.doi.org/10.1080/03610910600880286.10.1080/03610910600880286
- Lavalleé, P. and M. Hidiroglou. 1988. “On the Stratification of Skewed Populations.” Survey Methodology 14: 33-43.
- Lisic, J.J. 2016. “saAlloc: Stratification and Allocation of Sampling Units Using Simulated Annealing.” Available at: https://github.com/jlisic/saAlloc, r package version 2.0 (accessed January 20, 2018).
- Lisic, J.J., H. Sang, Z. Zhu, and S. Zimmer. 2015. “Optimal Stratification and Allocation for the June Area Survey.” A paper presented at the 2015 Federal Committee on Statistical Methodology Conference, December 2, 2015. Washington, DC: Federal Committee on Statistical Methodology. Available at: https://fcsm.sites.usa.gov/files/2016/03/E2_Lisic_2015FCSM.pdf (accessed January 20, 2018).
- Metropolis, N., A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, and E. Teller. 1953. “Equation of State Calculations by Fast Computing Machines.” The Journal of Chemical Physics 21: 1087-1092. Doi: https://doi.org/10.1063/1.1699114.10.1063/1.1699114
- R Core Team. 2015. “R: A Language and Environment for Statistical Computing.” R Foundation for Statistical Computing, Vienna, Austria, Available at: https://www.Rproject.org/ (accessed July 1, 2017).
- Romeo, F. and A. Sangiovanni-Vincentelli. 1991. “A Theoretical Framework for Simulated Annealing.” Algorithmica 6(1): 302-345. Doi: https://doi.org/10.1007/BF01759049.10.1007/BF01759049
- Särndal, C.-E., B. Swensson, and J. Wretman. 1991. Model Assisted Survey Sampling. New York: Springer.
- Sen, A.R. 1953. “On the Estimate of the Variance in Sampling with Varying Probabilities.” Journal of the Indian Society of Agricultural Statistics 5(1194): 127.
- Strenski, P.N. and S. Kirkpatrick. 1991. “Analysis of Finite Length Annealing Schedules.” Algorithmica 6(1): 346-366. Doi: https://doi.org/10.1007/BF01759050.10.1007/BF01759050
- Valliant, R., F. Hubbard, S. Lee, and C. Chang. 2014. “Efficient Use of Commercial Lists in US Household Sampling.” Journal of Survey Statistics and Methodology 2(2): 182-209. Doi: http://dx.doi.org/10.1093/jssam/smu006.10.1093/jssam/smu006
- Zimmer, S., J.-K. Kim, and S. Nusser. 2013. “Automatic Stratification for an Agricultural Area Frame Using Remote Sensing Data.” In Proceedings of the 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong, 1952-1957 Available at: www.statistics.gov.hk/wsc/STS043-P5-S.pdf (accessed June 12, 2014).