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COMPSTAT

Proceedings in Computational Statistics, 7th Symposium held in Rome 1986

  • F. De Antoni
  • N. Lauro
  • A. Rizzi
Conference proceedings

Table of contents

  1. Front Matter
    Pages N1-XV
  2. Information Science and Statistics

  3. Probabilistic Models in Exploratory Data Analysis

  4. Computational Approach of Inference

  5. Numerical Aspects of Statistical Computations

  6. Three-Mode Data Matrices

  7. Cluster Analysis Methods and Algorithms

  8. Robustness in Multivariate Analysis

  9. Computer Graphics and Data Presentation

  10. Expert Systems

    1. Front Matter
      Pages 249-249
    2. J. Jida, J. Lemaire
      Pages 251-258
    3. E. Dambroise, P. Massotte
      Pages 271-276

About these proceedings

Introduction

When dealing with the design or with the application of any technical system, which is not quite simple and trivial, one has to face to the problem to determine the allowable de­ viations of the system functions and the optimal vector of system parameter tolerances. The need for the solution of this problem is stimulated with various serious economic and maite­ nance aspects, between them the tendency to reach the minimal production cost, the maximal system operation reliability are the most frequent. Suppose that we are dealing with an system S, consisting of N components represented by the system parame­ ters xi' i = 1, 2 . . . N, which are arranged in certain structu­ re so, that the K, system functions F k' k = 1, 2 . . . IG , expres­ sing the considered system properties, fullfil the condition F-FO~ AF, /1/ \'Ihere F = l F k} Ie is the set of the actual system functions, FO = lFOk}~ is the set of the nominal system functions and A F = l A F k 1(;. } is the set 0 f the a 11 0 w a b 1 e s emf y s t u n c ion t s de­ viations. The set F depends besides the system structure also on the vector X = [Xi}N of the system parameters. Suppose, that the system structure is invariant.

Keywords

Distribution algorithms calculus cluster analysis computer science data analysis econometrics management modeling rating regression analysis sensitivity analysis simulation statistical analysis statistics

Editors and affiliations

  • F. De Antoni
    • 1
  • N. Lauro
    • 2
  • A. Rizzi
    • 1
  1. 1.Dipartimento di Statistica, Probabilità e Statistiche applicateUniversità degli Studi di Roma „La Sapienza“RomaItaly
  2. 2.Dipartimento di Matematica e StatisticaUniversità degli Studi di NapoliNapoliItaly

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