Recent Publications
Publication date 2000 or later
Sample Surveys
Natural Resource Surveys
Computer-Assisted Survey Methods
Nonparametric Regression
Measurement Errors
Time Series
Small Area Estimation
Welfare and Food Insecurity Assessment
Biostatistics
Dietary Assessment
Record Linkage
Statistical Education
Sample Surveys
Kim, J.K., Brick, J.M., Fuller, W.A., and Kalton, G. (2006). On the bias of the multiple imputation variance estimator in survey sampling. Journal of the Royal Statistical Society B. Accepted for publication.
Kim, J.K., Navarro, A. and Fuller, W.A. (2006). Replication variance estimation for two-phase stratified sampling. Tentatively accepted. Journal of the American Statistical Association.
Larsen, M.D. (2006). Entry for the Sage Encyclopedia of Measurement and Statistics "Nonprobability Sampling." Accepted.
Larsen, M.D. (2006). Entry for the Sage Encyclopedia of Measurement and Statistics on the "Three Card Method." Accepted.
Breidt, F.J., G. Claeskens and J.D. Opsomer (2005). Model-assisted estimation for complex surveys using penalized splines. Biometrika, 92, 831-846.
da Silva, D.N. and J.D. Opsomer (2005). A kernel smoothing method to adjust for unit nonresponse in sample surveys. Preprint Series #05-06, Department of Statistics, Iowa State University. Submitted to Annals of Statistics.
Fuller, W.A. and Kim, J.K. (2005). Hot deck imputation for the response model. Survey Methodology, 31, xxx.
Hewitt, K. A., and Larsen, M. D. (2005). Design of a Survey of High School Students in Iowa: Studying Design Choices Using Simulation. Stats magazine, submitted.
Larsen, M.D. (2005). Latent Class Analysis of 1997 NSF SESTAT Survey Data on Science PhDs. Calcutta Statistical Association Bulletin, 56 (Special 5th Triennial Proceedings Volume), Nos. 221-224, editors U. Bandyopadhyay, K. Das, and R. Mukherjee, 189-208.
Opsomer, J.D. and Miller, C.P. (2005). Selecting the Amount of Smoothing in Nonparametric Regression Estimation for Complex Surveys. Journal of Nonparametric Statistics, 17, 593-611.
Park, M. and Fuller, W.A. (2005). Towards nonnegative regression weights for survey samples. Survey Methodology, 31, 85-93.
da Silva, D.N. and J.D. Opsomer (2004). Estimation after fractional imputation under a nonparametric response mechanism. Survey Methodology, 30, 45-55.
Isaki, C.T., Tsay, J.H. and Fuller, W.A. (2004). Weighting sample data subject to independent controls. Survey Methodology, 30, 35-44.
Kim, J.K., and Fuller, W.A. (2004). Fractional hot deck imputation. Biometrika, 91, 559-578.
Larsen, M.D. (2004). Book Review: "Cross-Cultural Survey Methods, Wiley, by Janet A. Harkness, Fons J.R. van de Vijver, Peter Ph. Mohler." (2004) Journal of the American Statistical Association, 99, 907.
Fuller, W.A. (2003). Estimation for multiple phase samples. Chapter 19 in Chambers R.L. and Skinner, C.J. Analysis of Survey Data, Wiley, New York, 307-322.
J.Y Kim, F.J. Breidt and J.D. Opsomer (2003). Nonparametric Regression Estimation of Finite Population Totals under Two-Stage Sampling. Preprint Series #03-06, Department of Statistics, Iowa State University. Under revision for Survey Methodology.
Larsen, M.D. (2003). Impact of latent class clustering of NSF doctoral survey data on adjusted Rand index values. Statistics in Transition, Journal of the Polish Statistical Society.
Breidt, F.J. and J.D. Opsomer (2002). Endogenous post-stratification in surveys: classifying with a sample-fitted model. Preprint Series #02-23, Department of Statistics, Iowa State University. Submitted to Annals of Statistics.
Chen, C., Fuller, W.A., and Breidt, F.J. (2002). Spline estimators of the density function of a variable measured with error. Communications in Statistics — Simulation and Computation, 32, 73-86.
Doebbling, B. N., M. F. Jones, R. F. Woolson, D. B. Hall, W. R. Clarke, T. Snyders-Crumley, D. H. Barrett, K. H. Falter, J. C. Torner, L. F. Burmeister, J. A. Merchant, S. M. Nusser, D. G. Anderson, D. A. Schwartz. 2002. Methodological issues in a population-based health survey of Gulf War veterans. Journal of Clinical Epidemiology, 55(5), 477-487.
Fuller, W.A. (2002). Regression estimation for survey samples. Survey Methodology, 28, 5-23.
Larsen, M.D. (2002). Book review: The Psychology of Survey Response, by Tourangeau, Rips, and Rasinski. Journal of the American Statistical Association, 97, 358-359.
Fuller, W. A. and J. N. K. Rao (2001). A regression composite estimator with application to the Canadian Labour Force Survey. Survey Methodology, 27, 45-51.
Breidt, F. J. and J. D. Opsomer (2000). Local polynomial regression estimators in survey sampling. Annals of Statistics, 28, 1026-1053.
Isaki, C. T., M. M. Ikeda, J. H. Tsay, and W. A. Fuller (2000). An estimation file that incorporates auxiliary information. Journal of Official Statistics, 16, 155-172.
Isaki, C. T., J. H. Tsay, and W. A. Fuller (2000). Estimation of census adjustment factors. Survey Methodology, 26, 31-42.
Stehman, S. V., R. L. Czaplewski, S. M. Nusser, L. Yang, and Z. Zhu 2000. Combining accuracy assessment of land-cover maps with environmental programs. Environmental Monitoring and Assessment 64:115-126.
Natural Resource Surveys
Cruse, R.M., D. Flanagan, J. Frankenberger, B.K. Gelder, D. Herzmann, D. James, W. Krajewski, M. Kraszewski, J.M. Laflen, J.D. Opsomer, and D. Todey (2005). Daily estimates of rainfall, water runoff, and soil erosion in Iowa. Under revision for Journal of Soil and Water Conservation.
Opsomer, J.D., F.J. Breidt, G.G. Moisen, G. Kauermann (2005). Model-assisted estimation of forest resources with generalized additive models. Preprint Series #03-05, Department of Statistics, Iowa State University. Accepted in Journal of the American Statistical Association, to appear as a discussed article in JASA Applications and Case Studies.
Nusser, S. M., W. R. Clark, J. Wang, and T. R. Bogenschutz. Pheasant populations associated with land use in Iowa during the Conservation Reserve Program. Accepted with minor revision for Journal of Agricultural, Biological and Environmental Statistics.
Nusser, S. M. and E. E. Klaas (2003). Survey methods for assessing land cover map accuracy. Environmental and Ecological Statistics. 10(1), in press.
Opsomer, J.D., C. Botts and J.Y. Kim (2003). Small area estimation in a watershed erosion assessment survey. Journal of Agricultural, Biological and Environmental Statistics, 8, 139-152.
Opsomer, J.D., Z. Wu, T. Isenhart, V. Sitzmann, T.J. Jacobsen, J.Y. Kim, C. Botts (2001). Environmental Assessment for the Rathbun Lake Watershed: Sampling Design, Methods and Results. Preprint #01-13, Department of Statistics, Iowa State University.
Fuller, W. A. and J. Wang (2000). Geographic information in small area estimation for a national survey. Statistics in Transition, 4, 587-596.
Naugle, D. E., K. F. Higgins, M. E. Estey, R. R. Johnson, and S. M. Nusser (2000). Local and landscape-level factors influencing black tern habitat suitability. Journal of Wildlife Management, 64:253-260.
Stehman, S. V., R. L. Czaplewski, S. M. Nusser, L. Yang, and Z. Zhu (2000). Combining accuracy assessment of land-cover maps with environmental programs. Environmental Monitoring and Assessment, 64:115-126.
Computer-Assisted Survey Methods
Nusser, S. M., L. L. Miller, K. Clarke, and M. F. Goodchild (2003). Geospatial IT for mobile field data collection. Communications of the ACM. 46:64-65.
Miller, L. L., N. Sathe, M. Hua, D. Sekaran, S. Nusser, and P. Zhao (2001). An infrastructure for delivering geospatial data to field users. Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems. p. 378-382.
Nusser, S., L. Miller, K. Clarke, M. Goodchild (2001). Future views of field data collection in statistical surveys. Proceedings of dg.o 2001 National Conference on Digital Government Research, Los Angeles, CA. http://www.isi.edu/dgrc/dgo2001/papers/session-3/nusser1.pdf
Nusser, S. M. and J. Fox (2001). Using geospatial information to locate sample units in the field. Proceedings of the Federal Committee on Statistical Methods 2001 Research Conference, Washington, D.C. (in press)
Anderson, L. L., J. M. Larson, D. G. Anderson and S. M. Nusser (2001). Overview of Blaise at the Iowa State University Statistical Laboratory. Proceedings of the 7th International Blaise Users Conference, Washington, D.C. http://www.blaiseusers.org/ibucpdfs/2001/L_Anderson--IBUC_paper.pdf
Nonparametric Regression
Francisco-Fernandez, M. and J.D. Opsomer (2005). Smoothing Parameter Selection Methods for Nonparametric Regression with Spatially Correlated Errors. Canadian Journal of Statistics, 33, 279-295.
Hall, P. and J.D. Opsomer (2005). Theory for penalized spline regression. Biometrika, 92, 105-118.
Francisco-Fernandez, M., M. Jurado-Exposito, J.D. Opsomer and F. Lopez-Granados (2004). A nonparametric analysis of the distribution of Convolvulus arvensis in wheat-sunflower rotations. Preprint Series #04-16, Department of Statistics, Iowa State University. Submitted to Environmetrics.
Francisco-Fernandez, M., J.D. Opsomer and J. Vilar-Fernandez (2004). A plug-in bandwidth selector for local polynomial regression estimator with correlated errors. Journal of Nonparametric Statistics, 16, 127-151.
Kauermann, G. and J.D. Opsomer (2004). Generalized cross-validation for bandwidth selection of backfitting estimators in generalized additive models. Journal of Computational and Graphical Statistics, 13, 66-89.
Kauermann, G. and J.D. Opsomer (2003). Local likelihood estimation in generalized additive models. Scandinavian Journal of Statistics, 30, 317-337.
Opsomer, J.D. (2002). Nonparametric regression model. Encyclopedia of Environmetrics, A.H. El-Shaarawi and W.W. Piegorsch (editors), Wiley & Sons, Chichester U.K., Volume 3, 1411-1425.
Opsomer, J.D., Y. Wang and Y. Yang (2001). Nonparametric regression with correlated errors. Statistical Science, 16, 134-153.
Opsomer, J. D. (2000). Asymptotic properties of backfitting estimators. Journal of Multivariate Analysis, 73,166-179.
Measurement Errors
Roy, S., T. Banerjee, and T. Maiti, (2004). Measurement error model for binary responses when responses are subject to classification errors. Statistics in Medicine, 24, 269-283.
Chen, C., W. A. Fuller, and F. J. Breidt (2000). A semiparametric estimator of the distribution function of a variable measured with error. Communications in Statistics, Theory and Methods, 29, 1293-1310.
Time Series
Roy, A., Faulk, B., and Fuller, W. A. (2004). Testing for trend in the presence of autoregressive errors. Journal of the American Statistical Association, 99, 1082-1091.
Roy, A. and W. A. Fuller (2001). Estimation for autoregressive time series with a root near one. Journal of Business and Economic Statistics, 19, 482-493.
Small Area Estimation
Opsomer, J.D., G. Claeskens, M.G. Ranalli, G. Kauermann and F.J. Breidt (2005). Nonparametric small area estimation using penalized spline regression. Preprint Series #05-01, Department of Statistics, Iowa State University. Under revision for Journal of the Royal Statistical Society, Series B.
Ghosh, M. and T. Maiti (2004). Small area estimation based on natural exponential family-quadratic variance function models and survey weights, Biometrika, 91, 95-112.
Ghosh, M., J.V. Zidek, T. Maiti, and R. White (2004). Weighted likelihoods for the NEF-QVF family, Canadian Journal of Statistics, 32, 139-157.
Maiti, T. (2004). Applying jackknife method of mean squared prediction error estimation in SAIPE, Statistics in Transition, 6, 685-695 (Special Issue on small area estimation).
Larsen, M.D. (2003). Estimation of small-area proportions using covariates and survey data. Journal of Statistical Planning and Inference, 112/1-2, 89-98.
Maiti, T. (2003). Modeling small area effects using mixture of Gaussians, Sankhya, 65, 612-625.
Wang, J. and Fuller, W.A. (2003). The mean square error of small area predictors constructed with estimated area variances. Journal of the American Statistical Association, 98, 716-723.
Datta, G.S., P. Lahiri, and T. Maiti (2002). Empirical Bayes estimation of median income of four-person families by state using time series and cross-sectional data. Journal of Statistical Planning and Inference, 102, 83-97. Special issue on Sampling.
Maiti, T. (2001). Robust generalized linear mixed models for small area estimation. Journal of Statistical Planning and Inference, 98, 225-238.
Welfare and Food Insecurity Assessment
Opsomer, J.D., H.H. Jensen and S. Pan (2002). An Evaluation of the USDA Food Security Measure with Generalized Linear Mixed Models. Publication #02-WP 310, Center for Agricultural and Rural Development, Iowa State University. To appear in Journal of Nutrition.
Opsomer, J.D., H.H. Jensen, S.M. Nusser, D. Drignei, Y. Amemiya (2002). Statistical Considerations for the USDA Food Insecurity Index. Publication #02-WP 307, Center for Agricultural and Rural Development, Iowa State University.
Drignei, D. and S. M. Nusser 2000. On reducing the number of items in the Food Security Supplement for measuring food insecurity. Proceedings of the Section on Government Statistics and Section on Social Statistics, American Statistical Association. p. 225-230.
Biostatistics
Ghosh, M., T. Maiti, D. Kim, S. Chakraborty and A. Tewari (2004). Bayesian neural network modeling in prostate cancer detection. Journal of the American Statistical Association, 99, 601-608.
Sinha, D., and T. Maiti (2004). A Bayesian approach for the analysis of panel-count data with dependent termination, Biometrics, 60, 34-40.
Lahiri, P., and T. Maiti (2002). Empirical Bayes estimation of relative risks in disease mapping. Calcutta Statistical Association Bulletin, 53, 213-223.
Ghosh, M. and T. Maiti (2001). Transition modeling of longitudinal binary data: A Bayesian approach. Calcutta Statistical Association Bulletin, 51, 203-204.
Dietary Assessment
Carriquiry, A. L. and S. M. Nusser (2002). Comment on Patterson, B. H., C. M. Dayton, B. I. Graubard, Latent class analysis of complex sample survey data: application to dietary data. Journal of the American Statistical Association. In press for September 2002.
Record Linkage
Larsen, M.D. (2005). Hierarchical Bayesian Record Linkage Theory. Iowa State University, Department of Statistics, Pre-print #05-03, August 31, 2005.
Lahiri, P., and Larsen, M.D. (2005). Regression Analysis with Linked Data. Journal of the American Statistical Association, 100, 222-230.
Gomatam, S., and Larsen, M.D. (2004). Record Linkage and Counterterrorism. Chance magazine, 17, 1, 25-29.
Larsen, M.D. (2004). Record linkage using finite mixture models. Book chapter in Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, A. Gelman and X-L. Meng, editors. pp. 309-318.
Larsen, M.D. and D. Rubin (2001). Iterative automated record linkage using mixture models. Journal of the American Statistical Association, 96, 32-41.
Statistical Education
Larsen, M.D. (2005). Advice for new and student lecturers on probability and statistics. Journal of Statistics Education. Accepted.
Larsen, M.D. (2004). Internet Companion for Statistics: Guide and Activities for the Web, first edition, Duxbury Press, 2004. http://larsen.duxbury.com
Larsen, M.D. (2005). Revisions to entries on Statistics, Mean, Median, Average, and Mode, World Book Encyclopedia. World Book, Inc. Accepted.
Larsen, M.D. (2004). Active Learning of Probability through Contrasts. Statistics Teachers Network Newsletter, Winter 2004/5.
Publications list updated in November 2005.
