On Proxy Variables and Categorical Data Fusion

Brozzi, A., A. Capotorti, and B. Vantaggi. 2012. “Incoherence Correction Strategies in Statistical Matching.” International Journal of Approximate Reasoning 53: 1124–1136. Doi: http://dx.doi.org/10.1016/j.ijar.2012.06.009.Search in Google Scholar

Conti, P.L., D. Marella, and M. Scanu. 2008. “Evaluation of Matching Noise for Imputation Techniques Based on Nonparametric Local Linear Regression Estimators.” Computational Statistics & Data Analysis 53: 354–365. Doi: http://dx.doi.org/10.1016/j.csda.2008.07.041.Search in Google Scholar

Conti, P.L., M. Di Zio, D. Marella, and M. Scanu. 2009. “Uncertainty Analysis in Statistical Matching.” Paper given at the First Italian Conference on Survey Methodology (ITACOSM09), June 10–12, 2009, SienaSearch in Google Scholar

Conti, P.L., D. Marella, and M. Scanu. 2012. “Uncertainty Analysis in Statistical Matching.” Journal of Official Statistics 28: 69–88.Search in Google Scholar

Conti, P.L., D. Marella, and M. Scanu. 2013. “Uncertainty Analysis for Statistical Matching of Ordered Categorical Variables.” Computational Statistics & Data Analysis 68: 311–325. Doi: http://dx.doi.org/10.1016/j.csda.2013.07.004.Search in Google Scholar

Cain, M. 1994. “The Moment-generating Function of the Minimum of Bivariate Normal Random Variables.” The American Statistician 48: 124–125. Doi: http://dx.doi.org/10.1080/00031305.1994.10476039.Search in Google Scholar

Chambers, R.L. and R.G. Steel. 2001. “Simple Methods for Ecological Inference in 2 × 2 Tables.” Journal of the Royal Statistical Society Series A 164: 175–192. Doi: http://dx.doi.org/10.1111/1467-985X.00195.Search in Google Scholar

D’Orazio, M., M. Di Zio, and M. Scanu. 2006a. “Statistical Matching for Categorical Data: Displaying Uncertainty and Using Logical Constraints.” Journal of Official Statistics 22: 137–157.Search in Google Scholar

D’Orazio, M., M. Di Zio, and M. Scanu. 2006b. Statistical Matching: Theory and Practice. Chichester: Wiley.10.1002/0470023554Search in Google Scholar

Kadane, J.B. 1978. “Some Statistical Problems in Merging Data Files.” In 1978 Compendium of Tax Research, (pp. 159–171). Washington, D.C. Department of Treasury. (Reprinted in Journal of Official Statistics 17: 423–433.).Search in Google Scholar

King, G. 1997. A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data. Princeton: Princeton University Press.10.3886/ICPSR01132Search in Google Scholar

Koopmans, T. 1949. “Identification Problems in Economic Model Construction.” Econometrica 17: 125–144. Doi: http://dx.doi.org/10.2307/1905689.Search in Google Scholar

Lindley, D.V., A. Tversky, and R.V. Brown. 1979. “On the Reconciliation of Probability Assessments (incl. discussions).” Journal of the Royal Statistical Society Series A 142: 146–180. Doi: http://dx.doi.org/10.2307/2345078.Search in Google Scholar

Manski, C.F. 1995. Identification Problems in the Social Sciences. Cambridge, MA: Harvard University Press.Search in Google Scholar

Marella, D., P.L. Conti, and M. Scanu. 2008. “On the Matching Noise of Some Nonparametric Imputation Procedures.” Statistics and Probability Letters 78: 1593–1600. Doi: http://dx.doi.org/10.1016/j.spl.2008.01.020.Search in Google Scholar

Moriarity, C. and F. Scheuren. 2001. “Statistical Matching: A Paradigm for Assessing the Uncertainty in the Procedure.” Journal of Official Statistics 17: 407–422.Search in Google Scholar

Nadarajah, S. and S. Kotz. 2008. “Exact Distribution of the Max/Min of Two Gaussian Random Variables.” IEEE Transactions on Very Large Scale Integration (VLSI) Systems 16: 210–212. Doi: http://dx.doi.org/10.1109/TVLSI.2007.912191.Search in Google Scholar

Okner, B.A. 1972. “Constructing a New Microdata Base From Existing Microdatasets: the 1966 Merge File.” Annals of Economic and Social Measurement 1: 325–342.Search in Google Scholar

Patel, J.K., C.H. Kapadia, and D.B. Owen. 1976. Handbook of Statistical Distributions. New York: Marcel Dekker.Search in Google Scholar

Plackett, R.L. 1977. “The Marginal Totals of a 2 × 2 Table.” Biometrika 64: 37–42. Doi: http://dx.doi.org/10.1093/biomet/64.1.37.Search in Google Scholar

Purcell, N.J. and L. Kish. 1980. “Postcensal Estimates for Local Areas (or Domains).” International Statistical Review 48: 3–18. Doi: http://dx.doi.org/10.2307/1402400.Search in Google Scholar

Rässler, S. 2002. Statistical Matching: A Frequentist Theory, Practical Applications and Alternative Bayesian Approaches, Vol. 168 of Lecture Notes in Statistics. New York: Springer Verlag.10.1007/978-1-4613-0053-3_2Search in Google Scholar

Rässler, S. and H. Kiesl. 2009. “How Useful Are Uncertainty Bounds? Some Recent Theory With an Application to Rubin’s Causal Model.” In Proceedings of the 57th Sessions of the International Statistical Institute. (2009) CD-ROM. Durban, South Africa.Search in Google Scholar

Singh, A.C., H. Mantel, M. Kinack, and G. Rowe. 1993. “Statistical Matching: Use of Auxiliary Information as an Alternative to the Conditional Independence Assumption.” Survey Methodology 19: 57–79.Search in Google Scholar

Vantaggi, B. 2008. “Statistical Matching of Multiple Sources: A Look Through Coherence.” International Journal of Approximate Reasoning 49: 701–711. Doi: http://dx.doi.org/10.1016/j.ijar.2008.07.005.Search in Google Scholar

Wakefield, J. 2004. “Ecological Inference for 2 × 2 Tables (incl. discussions).” Journal of the Royal Statistical Society Series A 167: 385–445. Doi: http://dx.doi.org/10.1111/j.1467-985x.2004.02046.x.Search in Google Scholar