DESIGN AND ANALYSIS OF EXPERIMENTS

Dean, Angela & Voss, Daniel

ISBN 10: 0387985611 / ISBN 13: 9780387985619

Published by Springer, 1999

About this Item

Circa 1999. Very good condition with no wrapper. Springer Texts in Statistics. A step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data. Orange glazed boards. 4th printing. Spine faded. A few grubby marks to boards. Possibly some infrequent annotation present, not observed on initial inspection. Packaged with care and promptly dispatched! Seller Inventory # 1821089

Bibliographic Details

Title: DESIGN AND ANALYSIS OF EXPERIMENTS

Publisher: Springer

Publication Date: 1999

Binding: Hardback

Condition: Very Good

Dust Jacket Condition: No Jacket

About this title

Synopsis:

This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.

Review:

This is a readable book presenting the basic concepts, principles, and techniques of design and analysis of experiments. Written with a view to making it accessible to a wide audience, the authors make concerted efforts to avoid using calculus and linear algebra and, wherever needed, a low mathematical level is used for presentation. Rather than performing exploratory data analysis, the concentration here is on the use of prespecified models and preplanned analyses. Model assumptions are clearly stated, and checked through the use of residual plots rather than formal tests. All analyses are presented by using standard linear models under the assumption of normality. It is the experimentwise control of the error rate and confidence levels on which the presentation is focused as opposed to individual error rates and confidence levels. The popular "Taguchi techniques", used extensively in an industrial set-up, are included and appear throughout several chapters.

The book contains enough material for an instructor to offer a course ranging from one semester to one year. An attractive feature of this book is the inclusion of numerous real experiments which were either run by students or extracted from published articles---thus bringing home to students the practical utility of statistical designs. The authors have done a commendable job in presenting, explaining, and elucidating the fundamental concepts of design and analysis of experiments through illustrative examples. A carefully selected set of exercises is provided at the end of each chapter for students to test their understanding of the material.

--Mathematical Reviews