Interface '90 is the continuation of an ext!remely successful symposium series. The series has provided a forum for the interaction of professionals in statistics, computing science, and in numerical methods, wherein they may discuss a wide range of topics at the interface of these disciplines. This, the 22nd Symposium on the Interface: Computing Science and Statistics, was held 16-19 May, 1990 at the Kellogg Center on the campus of Michigan State University and is the third Symposium to be held under the recently organized Interface Foundation of North America. The Interface Board of Directors consists of the nine most recent Symposium Chairs: James E. Gentle, Lynne Billard, David M. Allen, Thomas J. Boardman, Richard M. Heiberger, Edward J. Wegman, Linda Malone, Raoul LePage, and Jon Kettenring. The officers of the Interface are William Eddy, Board Chairman and Executive Director; Edward Wegman, President and Treasurer; Lynne Billard, Secretary. My valued colleague Connie Page, Editor of this Proceedings Volume and generally bright and hardworking person, has organizational skills of a higher order which were successfully brought into play during many critical junctures not strictly connected with the Proceedings. Edward Wegman, Barbara Barringer, Bill Eddy, and George Styan all pitched in with useful information on numerous occasions. Our Keynote Speaker, Peter G. Hall and Plenary Speakers David L. Donoho, Jerome H. Friedman (who also gave a short course), Bruce Hajek, John Skilling, and C. F.

Keynote Address.- Bootstrap Confidence Intervals in Curve Estimation.- Plenary Addresses.- Bayesian Radial Basis Function Interpolation.- GAD: Graphic-Aided Design of Experiments.- Invited Papers Bayesian Computation.- Bayesian Inference for Hard Problems Using the Gibbs Sampler.- Asymptotic Evaluation of Integrals Arising in Bayesian Inference.- Software Quality and Reliability.- Data Redundacy for the Detection and Tolerance of Software Faults.- Constrained Least Squares.- Solution of Sparse Weighted and Equality Constrained Least Squares Problems.- Nonnegatively Constrained Confidence Interval Estimation for Ill-Posed Problems.- Small Sample Performance of Computer Intensive Statistical Methods.- On the Double Bootstrap.- Empirical Likelihood and Small Samples.- Bootstrap Tests and Confidence Intervals for a Hazard Ratio when the Number of Observed Failures is Small, with Applications to Group Sequential Survival Studies.- Curve and Density Estimation.- A Nonparametric Resampling Procedure for Multivariate Confidence Regions in Time Series Analysis.- Sequential Design for Nonparametric Regression of Curves and Surfaces.- Local Bandwidth Selection for Density Estimation.- Graphical Techniques for Analyzing Data.- Displays for Data from Large Designed Experiments.- Breaking out of 2-D Cartesian Coordinates.- The Grand Tour in K-Dimensions.- Nonparametric Regression.- Some Diagnostics for Additive Spline Models.- Smooth Mixture Estimation from Multichannel Image Data.- Spatial Statistics and Image Reconstruction.- Image Reconstruction Using A-Priori Boundary Information.- Simple Monte Carlo P-Values.- Neural Network Computations.- A Constructive Proof and an Extension of Cybenko's Approximation Theorem.- Learning Algorithms for Artificial Neural Nets for Analog Circuit Implementation.- Bayesian Applications.- Modeling the Dynamics of Transaction Prices on the NYSE in a Bayesian State-Space Filtering Framework.- Modern APL.- APL as a Statistical Specification Language.- Neural Networks and Related Techniques.- Nonparametric Estimation of Conditional Quantiles Using Neural Networks.- Techniques for Developing and Applying Polynomial Network Synthesis Software.- Systematic Initialization of Local Search Procedures and Application to the Synthesis of Neural Networks.- Nonlinear and Spatical Time Series.- An Innovations Approach for Interpolating a Random Surface Based on Sparse Data.- Space-Time ARMA Models for Satellite Ozone Data.- Nonparametric Data Analysis.- Unification of Statistical Methods for Discrete and Continuous Data.- Some Issues in Bayesian Nonparametrics.- Software Metrics.- Scalable Techniques for Modeling Software Interconnectivity.- The Use of Complexity Metrics Throughout the Software Lifecycle.- Evaluating the Quality of Software Quality Indicators.- Algorithmic Statistical Process Control.- Algorithmic Statistical Process Control: The Concept, an Elaboration.- Contributed Papers.- A New Exact Runs Tests for Randomness.- Algorithms for Bayesian Computing Using Mathematica.- Bootstrap Inference Relating to Pr[X