Data: A Collection of Problems from Many Fields for the Student and Research Worker (Springer Series in Statistics)

Andrews, David F.

ISBN 10: 0387961259 / ISBN 13: 9780387961255

Published by Springer-Verlag New York Inc., 1985

About this Item

Dispatched, from the UK, within 48 hours of ordering. This book is in good condition but will show signs of previous ownership. Please expect some creasing to the spine and/or minor damage to the cover. Inscription on the first page, typically just a name but may include a dedication or a brief personal message.

Seller Inventory # CHL10243723

Bibliographic Details

• Title: Data: A Collection of Problems from Many Fields for the Student and Research Worker (Springer Series in Statistics)
• Publisher: Springer-Verlag New York Inc.
• Publication Date: 1985
• Language: English
• ISBN 10: 0387961259
• ISBN 13: 9780387961255
• Binding: hardcover
• Condition: Used; Good

About this title

Synopsis

Statistics provides tools and strategies for the analysis of data. While much has been written about the methodology, sometimes without reference to data, little has been said about the data. In this volume we present sets of data obtained from many situations without any direct reference to a particular type of analysis. Our view of the usefulness of bringing together a broad collection of sets of data has been shared by many friends and contributors. Students of statistics need to gain facility with their art by applying their knowledge to many sets of data. Textbook examples tend to be small and selected primarily to illustrate a particular technique, thus failing to demonstrate the questioning, iterative nature of statistical analysis. The situations which gave rise to the more extensive sets of data given in this volume are colourful and interesting, and can be readily understood by laymen, students and research workers with diverse interests. These sets were often chosen for their perverse reluctance to yield under the naive application of standard procedures. They do not have correct solutions. They describe situations where the statisti cian can develop skills and learn the limitations of statistical methods."