Computing Science and Statistics

1. Front Matter

   Pages i-xiii

   PDF

2. Keynote Address

   1. Bootstrap Confidence Intervals in Curve Estimation

      • Peter Hall

      Pages 1-15

3. Plenary Addresses

   1. Bayesian Radial Basis Function Interpolation

      • John Skilling, Sibusiso Sibisi

      Pages 17-26

   2. Graphic-Aided Design of Experiments

      • C. F. J. Wu

      Pages 27-28

4. Invited Papers

   1. Bayesian Computation

      1. Bayesian Inference for Hard Problems Using the Gibbs Sampler

         • Alan E. Gelfand, Bradley P. Carlin

         Pages 29-37

      2. Asymptotic Evaluation of Integrals Arising in Bayesian Inference

         • Robert E. Kass, Luke Tierney, Joseph B. Kadane

         Pages 38-42

   2. Software Quality and Reliability

      1. Data Redundancy for the Detection and Tolerance of Software Faults

         • P. E. Ammann

         Pages 43-52

   3. Constrained Least Squares

      1. Solution of Sparse Weighted and Equality Constrained Least Squares Problems

         • Jesse L. Barlow

         Pages 53-62

      2. Nonnegatively Constrained Confidence Interval Estimation for Ill-Posed Problems

         • Bert W. Rust

         Pages 63-72

   4. Small Sample Performance of Computer Intensive Statistical Methods

      1. On the Double Bootstrap

         • Michael A. Martin

         Pages 73-78

      2. Empirical Likelihood and Small Samples

         • Art B. Owen

         Pages 79-88

      3. Bootstrap Tests and Confidence Intervals for a Hazard Ratio When the Number of Observed Failures is Small, With Applications to Group Sequential Survival Studies

         • Christopher Jennison

         Pages 89-97

   5. Curve and Density Estimation

      1. A Nonparametric Resampling Procedure for Multivariate Confidence Regions in Time Series Analysis

         • Dimitris N. Politis, Joseph P. Romano

         Pages 98-103

      2. Sequential Design for the Nonparametric Regression of Curves and Surfaces

         • Julian J. Faraway

         Pages 104-110

      3. Local Bandwidth Selection for Density Estimation

         • Lori A. Thombs, Simon J. Sheather

         Pages 111-116

   6. Graphical Techniques for Analyzing Data

      1. Displays for Data from Large Designed Experiments

         • Anne E. Freeny, James M. Landwehr

         Pages 117-126

   7. Breaking out of 2-D Cartesian Coordinates

      1. The Grand Tour in k-Dimensions

         • Edward J. Wegman

         Pages 127-136

   8. Nonparametric Regression

      1. Diagnostics for Additive Spline Models

         • Chong Gu

         Pages 137-142

      2. Smooth Mixture Estimation from Multichannel Image Data

         • Finbarr O’Sullivan

         Pages 143-150

   9. Spatial Statistics and Image Reconstruction

      1. Image Reconstruction Using <i>A Priori</i> Boundary Information

         • Valen E. Johnson, Chin Tu Chen, Xiaoping Hu, Wing H. Wong

         Pages 151-157

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.

• Bootstrapping
• Estimator
• Fitting
• Likelihood
• Mathematica
• Poisson distribution
• Projection Pursuit
• Resampling
• Time series
• Variance
• best fit
• correlation
• data analysis
• expectation–maximization algorithm
• statistical software

• Department of Statistics and Probability, Michigan State University, East Lansing, USA

  Connie Page, Raoul LePage

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