COMPSTAT

1. Front Matter

   Pages I-XIV

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2. Keynote Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Parallel Linear Algebra in Statistical Computations

      • G. W. Stewart

      Pages 3-14

3. Non-Parametric Estimation

   1. Front Matter

      Pages 15-15

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   2. Efficient Nonparametric Smoothing in High Dimensions Using Interactive Graphical Techniques

      • W. Härdle

      Pages 17-30

   3. A Boundary Modification of Kernel Function Smoothing, with Application to Insulin Absorption Kinetics

      • P. Hougaard

      Pages 31-36

   4. A Roughness Penalty Regression Approach for Statistical Graphics

      • M. G. Schimek

      Pages 37-43

4. Projection Pursuit

   1. Front Matter

      Pages 45-45

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   2. Detecting Structures by Means of Projection Pursuit

      • I. S. Yenyukov

      Pages 47-58

   3. Confidence Regions for Projection Pursuit Density Estimates

      • E. Elguero, S. Holmes-Junca

      Pages 59-63

   4. A Robustness Property of the Projection Pursuit Methods in Sampling from Separably Dependent Random Vectors

      • B. Baldessari, F. Gallo

      Pages 65-70

5. Graphical Techniques

   1. Front Matter

      Pages 71-71

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   2. Graphical Modelling with Large Numbers of Variables: An Application of Principal Components

      • J. Whittaker, A. Iliakopoulos, P. W. F. Smith

      Pages 73-79

   3. Some Graphical Displays for Square Tables

      • A. de Falguerolles, J. R. Mathieu

      Pages 81-86

   4. Data Plotting Methods for Checking Multivariate Normality and Related Ideas

      • T. Isogai

      Pages 87-92

   5. Computer-Aided Illustration of Regression Diagnostics

      • T. Nummi, M. Nurhonen, S. Puntanen

      Pages 93-98

   6. Computer Guided Diagnostics

      • D. A. Belsley, A. Venetoulias, R. E. Welsch

      Pages 99-104

6. Expert Systems

   1. Front Matter

      Pages 105-105

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   2. How Should the Statistical Expert System and its User See Each Other?

      • J. A. Nelder

      Pages 107-116

   3. Towards a Probabilistic Analysis of MYCIN-like Expert Systems (Working Paper)

      • P. Hájek

      Pages 117-121

The papers assembled in this volume were presented at COMPSTAT 1988, the 8th biannual Symposium in Computational Statistics held under the auspices of the International Association for Statistical Computing. The current impact of computers on the theory and practice of statistics can be traced at many levels: on one level, the ubiquitous personal computer has made methods for explorative data analysis and display, rarely even described in conventional statistics textbooks, widely available. At another level, advances in computing power permit the development and application of statistical methods in ways that previously have been infeasible. Some of these methods, for example Bayesian methods, are deeply rooted in the philosophical basis of statistics, while others, for example dynamic graphics, present the classical statistical framework with quite novel perspectives. The contents of this volume provide a cross-section of current concerns and interests in computational statistics. A dominating topic is the application of artificial intelligence to statistics (and vice versa), where systems deserving the label" expert systems" are just beginning to emerge from the haze of good intentions with which they hitherto have been clouded. Other topics that are well represented include: nonparametric estimation, graphical techniques, algorithmic developments in all areas, projection pursuit and other computationally intensive methods. COMPSTAT symposia have been held biannually since 1974. This tradition has made COMPSTAT a major forum for advances in computational statistics with contributions from many countries in the world. Two new features have been introduced at COMPSTAT '88.

• ANOVA
• Generalized linear model
• Projection Pursuit
• Regression analysis
• Resampling
• Time series
• Variance
• linear regression
• multidimensional scaling

• Clinical Research Department, NOVO, Bagsværd, Denmark

  David Edwards

• Danish Computing Centre for Research and Education, UNI-C, Copenhagen Ø, Denmark

  Niels E. Raun

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