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Statistics For Experimenters * An Introduction To Design, Data Analysys And .

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A Classic adapted to modern timesRewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors' practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.Among the new topics included Graphical Analysis of VarianceComputer Analysis of Complex DesignsSimplification by transformationHands-on experimentation using Response Service MethodsFurther development of robust product and process design using split plot arrangements and minimization of error transmissionIntroduction to Process Control, Forecasting and Time SeriesIllustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spacesBayesian approaches to model selection and sequential experimentationAn appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process.All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students.

Hardcover

First published June 22, 1978

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Displaying 1 - 2 of 2 reviews
Profile Image for David.
865 reviews1,642 followers
August 6, 2007
OK. Obviously not a book for everyone. But if I had to choose one statistics book to take with me on a desert island, this would be the one. (And I've co-authored a statistics book).

Deservedly recognized as a classic. One of the high points of my (professional) life was when I attended a Gordon conference in New Hampshire back in 1984, I got to swim in the same swimming hole with all three authors of this book. Sadly, Bill Hunter died not too long thereafter.
Profile Image for Ajt568.
3 reviews
February 1, 2014
Only on page 46 so far but the overview of stats required for the rest of the book is good. My biggest gripe with it is that it is sloppy with the use of Greek letters. Nu and upsilon are thoroughly confused for example on pages 46-47. So it's a lovely book but one has to take care. I am reading it as it concerns DOE.
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