Computing in Statistical Science through APL

  • Francis John Anscombe

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Statistical Computing

    1. Francis John Anscombe
      Pages 1-7
  3. Description of APL

    1. Front Matter
      Pages 9-9
    2. Francis John Anscombe
      Pages 11-17
    3. Francis John Anscombe
      Pages 18-26
    4. Francis John Anscombe
      Pages 27-37
    5. Francis John Anscombe
      Pages 38-48
    6. Francis John Anscombe
      Pages 49-57
    7. Francis John Anscombe
      Pages 58-87
    8. Francis John Anscombe
      Pages 88-102
    9. Back Matter
      Pages 103-114
  4. Experiments in Statistical Analysis

    1. Front Matter
      Pages 115-115
    2. Francis John Anscombe
      Pages 117-128
    3. Francis John Anscombe
      Pages 129-225
    4. Francis John Anscombe
      Pages 226-279
    5. Francis John Anscombe
      Pages 280-329
  5. Back Matter
    Pages 330-428

About this book


A t the terminal seated, the answering tone: pond and temple bell. ODAY as in the past, statistical method is profoundly affected by T resources for numerical calculation and visual display. The main line of development of statistical methodology during the first half of this century was conditioned by, and attuned to, the mechanical desk calculator. Now statisticians may use electronic computers of various kinds in various modes, and the character of statistical science has changed accordingly. Some, but not all, modes of modern computation have a flexibility and immediacy reminiscent of the desk calculator. They preserve the virtues of the desk calculator, while immensely exceeding its scope. Prominent among these is the computer language and conversational computing system known by the initials APL. This book is addressed to statisticians. Its first aim is to interest them in using APL in their work-for statistical analysis of data, for numerical support of theoretical studies, for simulation of random processes. In Part A the language is described and illustrated with short examples of statistical calculations. Part B, presenting some more extended examples of statistical analysis of data, has also the further aim of suggesting the interplay of computing and theory that must surely henceforth be typical of the develop­ ment of statistical science.


APL Computing Datenauswertung Forth Statistik

Authors and affiliations

  • Francis John Anscombe
    • 1
  1. 1.Department of StatisticsYale UniversityNew HavenUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1981
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-9452-5
  • Online ISBN 978-1-4613-9450-1
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site