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COMPSTAT

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

  • Conference proceedings
  • © 1986

Overview

Editors:
  1. F. Antoni

    1. Dipartimento di Statistica, Probabilità e Statistiche applicate, Università degli Studi di Roma „La Sapienza“, Roma, Italy

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  2. N. Lauro

    1. Dipartimento di Matematica e Statistica, Università degli Studi di Napoli, Napoli, Italy

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  3. A. Rizzi

    1. Dipartimento di Statistica, Probabilità e Statistiche applicate, Università degli Studi di Roma „La Sapienza“, Roma, Italy

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Table of contents (72 papers)

  1. Front Matter

    Pages N1-XV
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  2. Information Science and Statistics

    1. Front Matter

      Pages 1-1
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    2. Information Science and Statistics

      • E. B. Andersen
      Pages 3-9

    3. Catastrophe Theory as a Tool for Statistical Analysis of Systems

      • M. Novàk
      Pages 10-14

    4. New Procedures for Generating Optimal Experimental Designs

      • H. A. Yonchev
      Pages 15-20

  4. Computational Approach of Inference

    1. Front Matter

      Pages 61-61
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    2. Sequential Inference Processes in Computational Aspects

      • C. Asano, K. Kurihara, Z. Geng
      Pages 63-68

    3. Variance Components as a Method for Routine Regression Analysis of Survey Data

      • N. Longford
      Pages 69-74

    4. On the Assessment of Case Influence in Generalized Linear Models

      • G. U. H. Seeber
      Pages 75-80

  5. Numerical Aspects of Statistical Computations

    1. Front Matter

      Pages 81-81
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    2. Algoritmic Development in Variable Selection Procedures

      • J. Antoch
      Pages 83-90

    3. Linear Models of Categorical Variables

      • D. Denteneer
      Pages 91-96

    4. A Fast Algorithm for Curve Fitting

      • A. A. Georgiev
      Pages 97-101
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Keywords

About this book

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.

Editors and Affiliations

  • Dipartimento di Statistica, Probabilità e Statistiche applicate, Università degli Studi di Roma „La Sapienza“, Roma, Italy

    F. Antoni, A. Rizzi

  • Dipartimento di Matematica e Statistica, Università degli Studi di Napoli, Napoli, Italy

    N. Lauro

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