Symposium on the Interface Computing Science and Statistics

Computing Science and Statistics: Statistics of Many Parameters: Curves, Images, Spatial Models Symposium on the Interface Computing Science and Statistics Softcover reprint of the original 1st ed. 1992 edition

Marc Notes: Proceedings of the 22nd Symposium on the Interface: Computing Science and Statistics, held May 16-19, 1990, at the Kellogg Center on the campus of Michigan State University.; Includes bibliographical references and index. Table of Contents: 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