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Computing in Statistical Science through APL

  • Book
  • © 1981

Overview

Authors:
  1. Francis John Anscombe

    1. Department of Statistics, Yale University, New Haven, USA

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

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv
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  2. Statistical Computing

    1. Statistical Computing

      • Francis John Anscombe
      Pages 1-7

  3. Description of APL

    1. Front Matter

      Pages 9-9
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    2. Origins

      • Francis John Anscombe
      Pages 11-17

    3. Primitive Scalar Functions

      • Francis John Anscombe
      Pages 18-26

    4. Arrays

      • Francis John Anscombe
      Pages 27-37

    5. Primitive Functions on Arrays

      • Francis John Anscombe
      Pages 38-48

    6. Defined Functions

      • Francis John Anscombe
      Pages 49-57

    7. Illustrations

      • Francis John Anscombe
      Pages 58-87

    8. Comments

      • Francis John Anscombe
      Pages 88-102

  4. Back Matter

    Pages 103-114
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  5. Experiments in Statistical Analysis

    1. Front Matter

      Pages 115-115
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    2. Changing Attitudes

      • Francis John Anscombe
      Pages 117-128

    3. Time Series: Yale Enrolment

      • Francis John Anscombe
      Pages 129-225

    4. Regression: Public School Expenditures

      • Francis John Anscombe
      Pages 226-279

    5. Contingency Tables and Pearson-Plackett Distributions

      • Francis John Anscombe
      Pages 280-329

  6. Back Matter

    Pages 330-428
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Keywords

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.

Authors and Affiliations

  • Department of Statistics, Yale University, New Haven, USA

    Francis John Anscombe

Bibliographic Information

  • Book Title: Computing in Statistical Science through APL

  • Authors: Francis John Anscombe

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4613-9450-1

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1981

  • Softcover ISBN: 978-1-4613-9452-5Published: 30 December 2011

  • eBook ISBN: 978-1-4613-9450-1Published: 06 December 2012

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XVI, 428

  • Topics: Statistics and Computing/Statistics Programs

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