Computing in Statistical Science through APL

Francis John Anscombe

ISBN 10: 146139452X / ISBN 13: 9781461394525

Published by Springer, 2011

About this Item

Computing in Statistical Science through APL | Francis John Anscombe | Taschenbuch | xvi | Englisch | 2011 | Springer | EAN 9781461394525 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105628885

Bibliographic Details

• Title: Computing in Statistical Science through APL
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 146139452X
• ISBN 13: 9781461394525
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 25D millimeters 254 millimeters width by 178 millimeters height by 25 millimeters depth
• Weight: 837 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

Language Notes

Text: English
Introduction: French, German