Graphical Exploratory Data Analysis

Dutoit, S. H. C. et al

ISBN 10: 0387963138 / ISBN 13: 9780387963136

Published by Springer - Verlag, 1986

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:0387963138.

Seller Inventory # 9651991

Bibliographic Details

• Title: Graphical Exploratory Data Analysis
• Publisher: Springer - Verlag
• Publication Date: 1986
• Language: English
• ISBN 10: 0387963138
• ISBN 13: 9780387963136
• Binding: Hardcover
• Condition: Fair
• Weight: 750 grams
• Seller catalogs:
  • Mathematics

About this title

Synopsis

Portraying data graphically certainly contributes toward a clearer and more penetrative understanding of data and also makes sophisticated statistical data analyses more marketable. This realization has emerged from many years of experience in teaching students, in research, and especially from engaging in statistical consulting work in a variety of subject fields. Consequently, we were somewhat surprised to discover that a comprehen­ sive, yet simple presentation of graphical exploratory techniques for the data analyst was not available. Generally books on the subject were either too incomplete, stopping at a histogram or pie chart, or were too technical and specialized and not linked to readily available computer programs. Many of these graphical techniques have furthermore only recently appeared in statis­ tical journals and are thus not easily accessible to the statistically unsophis­ ticated data analyst. This book, therefore, attempts to give a sound overview of most of the well-known and widely used methods of analyzing and portraying data graph­ ically. Throughout the book the emphasis is on exploratory techniques. Real­ izing the futility of presenting these methods without the necessary computer programs to actually perform them, we endeavored to provide working com­ puter programs in almost every case. Graphic representations are illustrated throughout by making use of real-life data. Two such data sets are frequently used throughout the text. In realizing the aims set out above we avoided intricate theoretical derivations and explanations but we nevertheless are convinced that this book will be of inestimable value even to a trained statistician.