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Pavlicova M, Cressie N, Santner TJ.  2003.  Spatial Statistics and FMRI. Proceedings of the 12th Workshop on Stochastic Geometry, Stereology and Image Analysis. 29
Cressie N.  2002.  Spatial statistics in environmental epidemiology. Encyclopedia of Environmetrics. Volume 4:2076-2080.
Cressie N, Kornak J.  2003.  Spatial statistics in the presence of location error with an application to remote sensing of the environment. Statistical Science. 18:436-456.
Ver Hoef JM, Cressie N.  2001.  Spatial statistics: Analysis of field experiments. Design and Analysis of Ecological Experiments, 2nd Edition. :289-307.
Calder CA, Craigmile PF, Mosley-Thompson E.  2008.  Spatial Variation in the Influence of the North Atlantic Oscillation on Precipitation Across Greenland. Journal of Geophysical Research-Atmospheres. 113
Liu D, Kelly M, Gong P.  2006.  A spatial-temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery. Remote Sensing of Environment. 101:167-180.
Irwin ME, Cressie N, Johannesson G.  2002.  Spatial-temporal nonlinear filtering based on hierarchical statistical models (with discussion and a rejoinder). Test. 11:249-302.
Wendt D, Cressie N, Johannesson G.  2001.  A spatial-temporal statistical approach to command and control problems in battle-space digitization. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE). 439:232-243.
Cressie N, Wendt D, Johannesson G, Mugglin A, Hrafnkelsson B.  2003.  A spatial-temporal statistical approach to problems in command and control. Sixth Annual U.S. Army Conference on Applied Statistics 2000. :170-190.
Zhou S, Shen X.  2001.  Spatially adaptive regression splines and accurate knot selection schemes. Journal of the American Statistical Association. 96:247-259.
Wikle CK, Milliff RF, Nychka D, Berliner LM.  2001.  Spatio-temporal hierarchical Bayesian blending of tropical ocean surface wind data. Journal of the American Statistical Association. 96:382-397.
Cressie N, Mugglin AS.  2000.  Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data. Proceedings in Computational Statistics. :41-52.
Liu L, Pearl DK.  2007.  Species Trees from Gene Trees: reconstructing Bayesian posterior distributions of a species phylogeny using estimated gene tree distributions. Systematic Biology. 56:504-514.
Huang C, Hsing T, Cressie N.  Submitted.  Spectral density estimation through a regularized inverse function. Statistica Sinica.
Van Brocklyn JR, Jackson CA, Pearl DK, Snyder PJ, Prior TW.  2005.  Sphingosine Kinase-1 Expression Correlates with Poor survival of patients with Glioblastoma Multiforme. Journal of Neuropathology and Experimental Neurology. 64:695-705.
Shen X.  2002.  Spline adaptation to smoothness. Journal of Statistical Planning and Inference. 108:391-409.
MacEachern SN, Jain S, Neal R.  2007.  Splitting and merging components of nonconjugate Dirichlet process mixture model. Bayesian Analysis. 36:483-494.
Birmingham DJ, Irshaid F, Gavit KF, Nagaraja HN, Yu CY, Rovin BH, Hebert LA.  2007.  Spot urine protein/creatinine ratio is an unreliable estimate of 24-hr proteinuria in most SLE nephritis flares. Kidney International. 72:865-870.
Santner TJ, Duffy DE.  1989.  The Statistical Analysis of Discrete Data.
Kang L, Liu D, Cressie N.  2009.  Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis. 53:3016-3032.
Gilchrist M, Salter [Kubatko] LA, Wagner A.  2004.  A statistical framework for interpreting high-throughput proteomic datasets. Bioinformatics. 20(5):689-700.
Zhou D, Shi T.  Submitted.  Statistical Inference based on Distances between Empirical Distributions. Statistical Analysis and Data Mining.
Ozturk O.  2007.  Statistical inference under a stochastic ordering constraint in ranked set sampling. Journal of Nonparametric Statistics. 19:131-144.
McKeague IW, Nicholls G, Speer K, Herbei R.  2004.  Statistical inversion of South Atlantic circulation in an abyssal neutral density layer. Journal of Marine Research. 63:683-704.
Rumsey D.  2002.  Statistical Literacy as a Goal for introductory Statistics Courses. Journal of Statistics Education. 10(3)
Rumsey D.  2002.  Statistical Literacy: Implications for Teaching, Research, and Practice (rejoinder). International Statistical Review. 70(1):33-37.
Zhang W, Ruan S, Wolfe DA, Frankel GS.  2003.  Statistical model for intergranular corrosion growth kinetics. Corrosion Science. 45:353-370.
Huang T-S, Zhao S, Frankel GS, Wolfe DA.  2007.  A statistical model for localized corrosion in 7xxx aluminum alloys. Corrosion Science. 63(9):819-827.
Ruan S, Wolfe DA, Frankel GS.  2004.  Statistical modeling and computer simulation of intergranular corrosion growth in AA2024-T3 aluminum alloy. Journal of Statistical Planning and Inference. 126:553-568.
Ruan S, Wolfe DA, Zhang W, Frankel GS.  2004.  Statistical modeling of minimum intergranular corrosion path length in high-strength aluminum alloy. Technometrics. 46:69-75.
Mandrekar S, Nagaraja HN, Berntson G.  2005.  Statistical Modeling of the Differences Between Successive R-R Intervals. Statistics in Medicine. 24:437-451.
Lin Y, Wahba G, Zhang H, Lee Y.  2002.  Statistical properties and adaptive tuning of Support Vector Machines. Machine Learning. 48:115-136.
Huang Y, Hsu JC, Peruggia M, Scott A.  2006.  Statistical selection of maintenance genes for normalization of gene expressions. Statistical Applications in Genetics and Molecular Biology. 5:http://www.bepress.com/sagmb/vol5/iss1/art4.
Hsu JC, Chang J, Wang T, Steingr E, Magn MK, Bergsteinsdottir K.  2007.  Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity. Briefings in Bioinformatics. 8:22-31.
Rumsey D.  2003.  Statistics for Dummies.
Rumsey D.  2005.  Statistics Workbook for Dummies.
Moore DS, Notz WI.  2006.  Statistics: Concepts and Controversies, 6th ed.
Moore DS, Notz WI.  2008.  Statistics: Concepts and Controversies, 7th Ed.
Kubatko LS, Carstens BC, Knowles LL.  2009.  STEM: Species Tree Estimation using Maximum likelihood for gene trees under coalescence. Bioinformatics. 25(7):971-973.
Salter [Kubatko] LA, Pearl DK.  2001.  A stochastic search strategy for estimation of maximum likelihoodphylogenetic trees. Systematic Biology. 50:7-17.
Lee Y, Kim Y, Lee S, Koo J-Y.  2006.  Structured Multicategory Support Vector Machine with ANOVA decomposition. Biometrika. 93:555-571.
Du Toit SHC, Browne MW.  2007.  Stuctural equation modeling of multivariate time series. Multivariate Behavioral Research. 42:67.
Berliner LM, Nychka D, Hoar T, (Editors).  2000.  Studies in the Atmospheric Sciences Lecture Notes in Statistics, 144.
Fligner M, Notz WI.  2002.  Study Guide for Moore and McCabe's The Introduction to the Practice of Statistics, 4th Edition.
Fligner M, Notz W.  2003.  Study Guide for Moore's Basic Practice of Statistics, 3rd Edition.
Fligner M, Notz W.  2003.  Study Guide for Moore, McCabe, Duckworth and Sclove's Practice of Business Statistics.
Fligner M, Notz WI.  2000.  Study Guide for Yates, Moore and McCabe's The Practice of Statistics.
Liu Q, Dean AM, Bakken D, Allenby G.  2009.  Studying the Level-Effect in Conjoint Analysis: An Application of Efficient Experimental Designs for Hyper-parameter Estimation. Quantitative Marketing and Economics. 7:69-93.
Ozturk O.  2002.  Sub-sample Mann-Whitney-Wilcoxon test. Communications in Statistics-Theory and Methods. 31:2362-2377.
MacEachern SN, Peruggia M.  2000.  Subsampling the random scan Gibbs sampler: variance reduction. Statistics and Probability Letters. 47:91-98.