References
- Agresti, A. (2013). Categorical data analysis. Hoboken, NJ: Wiley.
- Bickel, P., & Doksum, K. (2015). Mathematical statistics: Basic ideas and slected topics (2nd ed. Vol. I). Boca Raton, FL: Chapman & Hall/CRC.
- Casella, G., & Robert, C. (2005). Monte Carlo statistical methods (2nd Ed.). New York: Springer.
- Fienberg, S. (1980). The measurement of crime victimization: Prospects for a panel analysis of a panel survey. Journal of the Royal Statistical Society Series D, 29, 313–350.
- Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New York: Cambridge Univ. Press.
- Hand, D., & Till, R. (2001). A simple generalization of the area under the ROC curve for multiple class classification problems. Machine Learning, 45(2), 171–186. doi: 10.1023/A:1010920819831
- Li, J., & Fine, J. (2008). ROC analysis with multiple classes and multiple tests: Methodology and its application in microarray studies. Biostatistics, 9, 566–576. Retrieved from https://doi.org/10.1093/biostatistics/kxm050
- Pfeffermann, D., Skinner, C., & Humphreys, K. (1998). The estimation of gross flows in the presence of measurement error using auxiliary variables. Journal of the Royal Statistical Society Series A, 161, 13–32. doi: 10.1111/1467-985X.00088
- Pinheiro, J., & Bates, D. (1995). Approximations of the loglikelihood function in the nonlinear mixed effects model. Journal of Computational and Graphical Statistics, 4, 12–35.
- Rao, J. N. K, & Molina, I. (2015). Small area estimation (2nd ed.). Hoboken, NJ: John Wiley.
- R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved from https://www.R-project.org/
- Särndal, C.-E., Swensson, J., & Wretman, J. (1992). Model assisted survey estimation. New York: Springer.
- Self, S., & Liang, K.-Y. (1987). Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. Journal of the American Statistical Association, 82, 605–610. doi: 10.1080/01621459.1987.10478472
- Slud, E., & Ashmead, R. (2017). Hybrid BRR and parametric-bootstrap variance estimates for small domains in large surveys. Proceedings of American Statistical Association, Survey Research Methods Section, Alexandria, VA, pp. 1716–1730.
- Slud, E., Ashmead, R., Joyce, P., & Wright, T. (2018). Statistical methodology (2016) for Voting Rights Act Section 203 determinations (Research Report Series RRS2018/12). Center for Statistical Research and Methodology, US Census Bureau.
- Stroup, W. (2013). Generalized linear mixed models. Boca Raton, FL: Chapman & Hall/CRC.
- Thibaudeau, Y., Slud, E., & Cheng, Y. (2019). Small-area estimation of cross-classified gross flows using longitudinal survey data. In P. Lynn (Ed.), Methodology of longitudinal surveys II. New York: Wiley.
- Thibaudeau, Y., Slud, E., & Gottschalck, A. (2017). Modeling log-linear conditional probabilities for estimation in surveys. The Annals of Applied Statistics, 11, 680–697. doi: 10.1214/16-AOAS1012