Listed alphabetically under the names of the corresponding authors; please see the full program for dates and times. For more information on submitting abstracts and papers please follow this link.

Talal M. Alkhamis, Optimization of Statistical Parameters Using Simulation

Martin Bilodeau, Robust Estimation of the SUR Model

David Booth, Robust Backpropagation and Statistical Process Control

Samuel E. Buttrey, Using k-Nearest Neighbor Classification in the Leaves of a Tree

Enrico Capobianco, Wavelets for High Frequency Financial Time Series

Daniel B. Carr, A Template for Interactive Conditioned Choropleth Maps

Cheng Cheng, The Relative Moments Method

Douglas B. Clarkson, Random Effects Multidimensional Scaling Models

Adele Cutler, Garrote Methods for Generalized Linear Models

Tamraparni Dasu, Visualizing Attribute Relationships with DataSpheres

Jeffrey DeCicco, Nonlinear Vector-ARX Modeling

Elise deDoncker, Parallel Computation of Multivariate Normal Probabilities

Dee Denteneer, Improved PCB-inspection: an Application of Loess

Donald E. Duckro, Tukey-Kramer Multiple Comparison Pruning of Neural Networks

Mohamed A. El-Wakeel, Stochastic Search Methods for Optimal Bernoulli Parameters

Imola K. Fodor, Multitaper Spectrum Estimates for Time Series with Missing Values

Peter Fos, Comparing the Performances of Logistic Regression and Artificial Neural Network Models in Predicting Swimming Conditions Along the Lincoln Beach Area of Lake Pontchartrain, New Orleans, LA

Rod Freed, An Alternative to "Maximize Expected Payoff"

Alan Genz, Finding Critical Values using Numerical Integration

Peter J. Haas, Hoeffding Inequalities for Online Aggregation

Karl Heiner, Simulation Based Inference for Auditing

Tim Hesterberg, Bootstrap Tilting

Tim Hesterberg, A Model-Based Approach to Handling Missing Values in S-PLUS using EM, Iterative Simulation, and Multiple Imputation

John J. Hsieh, Mathematical Models of Epidemics for Public Health Applications

Reid C. Huntsinger, Optimal Allocation of Treatments to Individuals

Mark A. Johnson, Visualizing Keyword Lists and other High-Dimensional Binary Response Variables

Tena I. Katsaounis, Optimal Small Response Surface Designs

Eric D. Kolaczyk, A Bayesian Multi-Scale Approach to Poisson Inverse Problems

Robert Koyak, An Investigation of Raking to Improve Capture-Recapture Estimates of Population Size

Thomas C. M. Lee, Robust Fitting of Discontinuous Regression Functions

Tze-San Lee, Detecting Change in Mean of Time Series: Likelihood Ratio Test

Stan Lipovetsky, CRI: A Collinearity Resistant Implement for analysis of regression problems

Li Liu, Canonical Correlation after spline transformation for Dimension Reduction

Thomas Lumley, Fast Weighted Regression for Non-Gaussian Time and Space Data

Thomas Lumley, ORCA: A Project in Platform-Independent, Distributed Data Visualisation

Dragos Margineantu, Building Ensembles of Classifiers for Loss Minimization

Andrew McDougall, Exploratory Time Series Analysis

Ted Mihalisin, New Methods and Tools for Visualizing Graphs

Majid Mojirsheibani, A Pseudo-Nearest-Neighbor Comboind Classifier

Rida E. Moustafa and Edward J. Wegman, Using Genetic Algorithm (GA) For Gene Mapping Problem

Daniel Q. Naiman and Carey E. Priebe, Importance Sampling for Spatial Scan Analysis: Computing Scan Statistic $p-$Values for Marked Point Processes

John C. Nash, Shake, Rattle and Roll: Some Pertubation Diagnostics for Linear Regression

Andrew A. Neath, A Note on the Minimization of the Trimmed Sum of Absolute Deviations as an Integer Program

Prabhat Ojha, Quantifying Operational Risks through MC simulations and Bayesian Networks

Jeong-Soo Park, Model Selection in Spatial Regressions with Power Exponential Covariance Family

David Patterson, Ideal Bootstrap Estimation of Expected Error Rate for k-Nearest Neighbor Classifiers

Philip Pretorius, Data Mining

Philip Pretorius, Run Rules

Philip Pretorius, Smoothing

Makarand V. Ratnaparkhi, Bootstrapping the Two-stage Shrinkage Estimators

Mohammad Al-Rawwash, Least Square Estimation of the Parameters of the Multivariate Normal Covariance Matrix

Craig A. Rolling, The Effects of Data Splitting on Prediction Error and its Estimation

Ori Rosen, Binomial-Beta Hierarchical Models for Ecological Inference

G. Sampath, A Modified Simulated Annealing Algorithm and its Application to the Satisfiability Problem

Marc A. Scott, A Comparison of Longitudinal Data Models When Covariance Structure is the Feature of Interest

James A Shine, Nested Spatial Models for Image Analysis Applications

Edmund Staples, A Divide and Conquer Approach to Fisher's Exact Test

Quentin F. Stout, Minimizing the Costs of Screening Designs

Ru Sun, Using Lighting Models and Perspective to Layer Panel Labels

Clifton D. Sutton, A Comparison of Regression Methods

Juergen Symanzik, Visual Data Mining of Brain Cells

Gary D. Tasker, Bootstrapping Periodic ARMA Models to Forecast Streamflow at Multiple Sites

Scott Vander Wiel, Network Tomography with Router Interface Data

Steve C. Wang, A Statistical Model for Computer Recognition of Handwritten ZIP Codes

Yong Wang, Clustering with Finite Data From Semi-parametric Mixture Distributions

Andreas Weingessel, The Number of Clusters in Binary Data Sets

David G. Whiting, A Part-Time Parallel Processing Environment for Statistical Computation

Paul Whitney, Software Design for Dynamic Linear Modeling

William C. Wojciechowski, Robust Location Estimation with L2 Distance

Wun Wong, Comparing the Predictive Performances of Rule Based, Regression and Artificial Neural Network Models within a Managed Care Population

Trong Wu, Decision Support in Mutual Fund Investment Based on Internet Derived Data

Qiong Yang, Achieving High Performance Parallel Statistical Computing in Tightly Coupled Network of Unix Workstations

Qi Zheng, An Automated Derivation of Differential Equations for Cumulants Defined by Stochastic Cancer Models

Yijun Zuo, Finite Sample ``Tail'' Behavior of Multivariate Location Estimators

Victor D. Zurkowski, The Reproductive Rate for Non-transient Diseases in SEIR Model