Documents

Export 41 results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is M  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
Murray, J. S., and J. P. Reiter. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." arXiv, no. 1410.0438 (2015), available at arxiv.org/abs/1410.0438.
Murray, Jared S.. Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables (Ph.D. Thesis), Department of Statistical Science. Duke University Ph.D., 2013, available at http://dukespace.lib.duke.edu/dspace/handle/10161/8253.
Murray, Jared S., and Jerome P. Reiter. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1174132, available at http://dx.doi.org/10.1080/01621459.2016.1174132.
Murray, J. S., and J. P. Reiter. "Multiple imputation of missing categorical and continuous outcomes via Bayesian mixture models with local dependence." Journal of the American Statistical Association 111, no. 516 (2017): 1466-1479.
Murray, J. S.. "Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering,." Journal of Privacy and Confidentiality 7, no. 1 (2016), available at http://repository.cmu.edu/jpc/vol7/iss1/2.
Moehl, J.. Comparing models of Demographic Subpopulations (Master's Thesis). University of Tennessee masters, 2014, available at http://trace.tennessee.edu/utk_gradthes/2835/; http://trace.tennessee.edu/cgi/viewcontent.cgi?article=4005&context=utk_gradthes.
Miranda, Javier, and Lars Vilhuber. Using partially synthetic data to replace suppression in the Business Dynamics Statistics: early results. Cornell University Preprint 1813:40852, 2014, available at http://hdl.handle.net/1813/40852.
Miranda, Javier, and Lars Vilhuber. "Using partially synthetic microdata to protect sensitive cells in business statistics." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 69-80. DOI: 10.3233/SJI-160963, available at http://content.iospress.com/download/statistical-journal-of-the-iaos/sji963.
Miranda, J., and L. Vilhuber. "Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results." Privacy in Statistical Databases (2014): 232-242. DOI: 10.1007/978-3-319-11257-2_18, available at http://dx.doi.org/10.1007/978-3-319-11257-2_18.
Miller, Peter, Anup Mathur, and Michael Thieme. NCRN Meeting Spring 2014: Research Program and Enterprise Architecture for Adaptive Survey Design at Census. NCRN Coordinating Office Preprint 1813:36400, 2014, available at http://hdl.handle.net/1813/36400.
McElroy, T.S., and S.H. Holan. "Computation of the Autocovariances for Time Series with Multiple Long-Range Persistencies." Computational Statistics and Data Analysis (2016): 44-56, available at http://www.sciencedirect.com/science/article/pii/S0167947316300202.
McElroy, T., and S. Holan. "Asymptotic Theory of Cepstral Random Fields." Annals of Statistics 42 (2014): 64-86. DOI: 10.1214/13-AOS1180, available at http://arxiv.org/pdf/1112.1977v4.pdf.
McElroy, T.S., and S.H. Holan. Asymptotic Theory of Cepstral Random Fields. University of Missouri Preprint 1813:34461, 2012, available at http://hdl.handle.net/1813/34461.
McElroy, T., and S. Holan. Asymptotic Theory of Cepstral Random Fields. University of Missouri, 2012.
McElroy, T.S., and S.H. Holan. "Fast Estimation of Time Series with Multiple Long-Range Persistencies." In ASA Proceedings of the Joint Statistical Meetings. Alexandria, VA: American Statistical Association, 2014.
McDermott, P.L., and C.K. Wikle. "An ensemble quadratic echo state network for nonlinear spatio-temporal forecasting." Stat, available at https://arxiv.org/abs/1708.05094.
McCutcheon, A.L.. "Predicting Survey Breakoff in Online Survey Panels." In American Association for Public Opinion Research 2014 Annual Conference. Anaheim, CA, 2014, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
McCutcheon, Allan L.. "The Role of Device Type and Respondent Characteristics in Internet Panel Survey Breakoff." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
McCutcheon, A.L., and T. Al Baghal. "Predicting survey breakoff in Internet survey panels." In American Association for Public Opinion Research 2013 Annual Conference. Boston, MA, 2013, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
McCutcheon, Allan. NCRN Meeting Spring 2014: Web Surveys, Online Panels, and Paradata: Automating Adaptive Design. NCRN Coordinating Office Preprint 1813:36398, 2014, available at http://hdl.handle.net/1813/36398.
McCutcheon, Allan L.. "Survey Informatics: The Future of Survey Methodology and Survey Statistics Training in the Academy?" In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
McCutcheon, Allan L.. NCRN Meeting Spring 2015: Survey Informatics: The Future of Survey Methodology and Survey Statistics Training in the Academy?. NCRN Coordinating Office Preprint 1813:40309, 2015, available at http://hdl.handle.net/1813/40309.
McCutcheon, Allan L., K. Rao, and O. Kaminska. "The Untold Story of Multi-Mode (Online and Mail) Consumer Panels: From Optimal Recruitment to Retention and Attrition." In Online Panel Surveys: An Interdisciplinary Approach, edited by M. Callegaro, R. Baker, J. Bethlehem, A. Göritz, J. Krosnick and P. Lavrakas. Wiley, 2014.
McCutcheon, A.L.. "The Role of Device Type in Internet Panel Survey Breakoff." In Midwest Association for Public Opinion Research Annual Conference. Chicago, IL, 2014, available at http://www.mapor.org/conferences.html.
McCutcheon, A.L.. "Web Surveys, Online Panels, and Paradata: Automating Adaptive Design." In NSF-Census Research Network (NCRN) Spring Meeting. Washington, DC, 2014, available at http://www.ncrn.info/event/ncrn-meeting-spring-2014.

Pages