Graphical Exploratory Data Analysis (Springer Texts in Statistics)

DuToit, S. H. C.; Steyn, A. G. W.; Stumpf, R. H.

ISBN 10: 0387963138 / ISBN 13: 9780387963136

Published by Springer, 1986

About this Item

Hardcover. Condition: Fine. No Jacket. The cover has some wear, glue/sticker spot on back cover show heavy corner wear. The binding is tight. The interior pages are clean and unmarked. There is a erased pencil mark on the front flyleaf.

You will notice that my book descriptions are not generic, saying "may have." certain conditions. All descriptions are written with actual book in hand.

Seller Inventory # ABE-1760197158068

Bibliographic Details

• Title: Graphical Exploratory Data Analysis (Springer Texts in Statistics)
• Publisher: Springer
• Publication Date: 1986
• Language: English
• ISBN 10: 0387963138
• ISBN 13: 9780387963136
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Fine
• Dimensions: 1.905W x 17.145H x 24.765D centimeters 1.905 centimeters width by 17.145 centimeters height by 24.765 centimeters depth
• Weight: 640 grams
• Seller catalogs:
  • Graphical
  • Data Analysis
  • Statistics

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.