Documents

Export 546 results:
[ Author(Desc)] Title Type Year
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
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.
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.
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.
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.
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.
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, 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, 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.
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.
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, 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, 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 Values via Bayesian Mixture Models with Local Dependence." arXiv, no. 1410.0438 (2015), available at arxiv.org/abs/1410.0438.
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.
N
Nagle, N., B. Buttenfield, S. Leyk, and S. E. Spielman. "Dasymetric Modeling and Uncertainty." The Annals of the Association of American Geographers 104 (2014): 80-95. DOI: DOI: 10.1080/00045608.2013.843439, available at http://www.tandfonline.com/doi/abs/10.1080/00045608.2013.843439.
Nagle, Nicholas. NCRN Meeting Spring 2015: Geographic Aspects of Direct and Indirect Estimators for Small Area Estimation. NCRN Coordinating Office Preprint 1813:40182, 2015, available at http://hdl.handle.net/1813/40182.
Nardi, Yuval, Robert Hall, and Stephen E. Fienberg. "Achieving both valid and secure logistic regression analysis on aggregated data from different private sources." Journal of Privacy and Confidentiality 4 (2012): 189.
Nissim, Kobbi, Urs Gasser, Adam Smith, Salil Vadhan, David O'Brien, and Alexandra Wood. NCRN Meeting Spring 2017: Formal Privacy Models and Title 13. NCRN Coordinating Office Preprint 1813:52164, 2017, available at http://hdl.handle.net/1813/52164.
Nissim, Kobbi, Urs Gasser, Adam Smith, Salil Vadhan, David O'Brien, and Alexandra Wood. Formal Privacy Models and Title 13. NCRN Coordinating Office Preprint 1813:52164, 2017, available at http://hdl.handle.net/1813/52164.
Noonan, Kimberly, Pascal Heus, and Tim Mulcahy. NCRN Meeting Spring 2014: Metadata Standards & Technology Development for the NSF Survey of Earned Doctorates. NCRN Coordinating Office Preprint 1813:36394, 2014, available at http://hdl.handle.net/1813/36394.
Nugent, Rebecca. NCRN Meeting Spring 2015: Building and Training the Next Generation of Survey Methodologists and Researchers. NCRN Coordinating Office Preprint 1813:40188, 2015, available at http://hdl.handle.net/1813/40188.

Pages