Computing Science and Statistics

This volume comprises the proceedings of Interface '90. This was a major conference devoted to providing a forum for the interaction between statisticians, computer scientists, and research workers engaged in computing techniques for the analysis of data. Many of the world's leading researchers attended the conference and consequently, papers presented at the conference reflect the current vitality of this fast growing area of research. As a result, this volume will provide a comprehensive and up-to-date account of many aspects of research in this field which many researchers whose work lies in this area will find invaluable. Topics covered include: bootstrap techniques, curve and density estimation, spatial statistics and image reconstruction, Bayesian computing, time series analysis, and many others.

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 < Y].- Breaking Dependence in Graphical Belief Models.- Inference for Spatial Time Series.- Maximum Likelihood Transfer Function Modelling.- Simulation vs. Practice: Estimation of the Distribution Function of a Finite Population.- Simulation of Polarized Radar Signals Using Multivariate Complex Gaussian and Exponential Series.- Evaluationing Functions over Lattices.- The Fallacy of Shotgun Correlations for Software Measures.- Multivariate Congruential Methods.- Measuring the Local Dimension of Point Clouds.- Estimation of Generalized Poisson Distribution by the Method of Weighted Discrepancies.- Confidence Intervals on Individual Variances in Unbalanced Models with Missing Cells.- Computing the Percentage Points of Run Length of an Exponentially Weighted Moving Average Control Chart.- A Graphical Tool for Exploring Simulated Sampling Distributions.- Asymptotic Optimality of Extended Non-Delete Set Compound Rules for Classification Between N(-1,1 ) and N(l,l).- Comparison of Empirical Bayes and Extended Set Compound Rules for Classification of a Sequence of Crop Types.- Comparison of the Gauss-Christoffel and Gauss-Galerkin Approximations of the Law of the Solution of Some Stochastic Differential Equations.- Simulating the Performance of Estimators of the Number of Duplicates in a Database.- Using the Fast Fourier Transform to Compute Some Multiple Comparisons Critical Values.- Model Fitting with Tree- Structured Regression.- Verifying Small Sample Bootstrap Estimates of Species Interactions.- Three-dimensional Contour Projections from Objective Functions.- A Review of the Controlled Rounding Problem.- Simulated Power Comparison of MRBP Rank Tests for Three Treatments.- Exact Computation of the Wilcoxon Signed Rank Distribution with Zeros and Ties.- Optimal Quantile Principle for Selecting Variable Bandwidth in Regression Estimators.- Estimating the Parameters of the Complex Valued Exponential Signals.- Sensitivity Analysis for Conceptual Design.- Wrapping Mathematical Tools.- Improving the EM Algorithm.- Use of Bootstrapping to Evaluate Infrequent Genetic Abnormalities as Prognostic Factors for Survival in Human Acute Leukemias.- An Efficient Method for Noncentral Beta Probabilities When Parameters Are Small or Moderate.- Testing the Random Number Tests.- Use of the Bootstrap in a High Energy Physics Experiment.- Bilinear (?,0,1,1) Model and its Consistent Identification.- Stochastic Approximation in Bootstrap and Bayesian Approaches to Interval Estimation in Hierarchical Models.- SHAW: an Auditor for S.- Conditioning for Variance Reduction in Estimating the Sensitivity of Simulations.- Computing the Symmetries and Exponents of Operator-Stable Laws.- Dwyer Functions DU and Their Applications to Sampling Without Replacement from a Finite Population.- On the Distribution of the Sample Correlation Coefficient.- Interpretable Exploratory Projection Pursuit.- Recursive Algorithms and Constructs for Multidimensional Table Computations.- The Spreadsheet as a Statistical Platform.- Computational Aspects of Dirichlet Distribution.- An Object Oriented Architecture for Statistical Software.- Probability Plots and Modern Statistical Software.- Situations, Summaries and Model Objects.- Measuring the Dispersion of Cancer Mortality Rates by Interquartile Range.- Generalized Projection Pursuit Regression and Density Approximation.- Patterns of Data Yielding Significant Regression Interaction Terms.- Supercomputer-Intensive Multivariable Randomization Tests.- Nonlinear Canonical Correlation Analysis with Simulated Annealing Solution.- Computing Probabilities for the Difference of Two t-Variables.- Two Line Sampling Plans: A Path-Counting Problem.- An EM Algorithm for Estimating Log Linear Models with Additional Marginal Constraints.- Surface Fitting with Orthogonal Additive Models.- Some Computational Aspects in Projection Pursuit.- Xgobi: A Dynamic Graphics Program Implemented in X with a Link to S.- Distance Based Binary Matching.- Influence Diagnostics for a Class of Biased Estimators in Regression.- A Bread-and-Butter Algorithm for Probability Integrals.- Generating Mixed Multilevel Orthogonal Arrays by Simulated Annealing.- Bootstrap Evaluation of Calibration Procedures used for Decision Rules in the Fellegi-Sunter Model of Record Lindage.- Smoothing Cures in Manifolds.- Estimating Optimal Transformations for Correlation and Coherence.- Parallel Bootstrap and Inference for Means.- Bootstrap Methods for Extreme Order Statistics.