Theory Of Optimal Experiments

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Release : 2013-04-20
Genre : Technology & Engineering
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Book Rating : 460/5 ( reviews)

Theory Of Optimal Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Theory Of Optimal Experiments write by V.V. Fedorov. This book was released on 2013-04-20. Theory Of Optimal Experiments available in PDF, EPUB and Kindle. Theory Of Optimal Experiments

Theory of Optimal Designs

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 622/5 ( reviews)

Theory of Optimal Designs - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Theory of Optimal Designs write by Kirti R. Shah. This book was released on 2012-12-06. Theory of Optimal Designs available in PDF, EPUB and Kindle. There has been an enormous growth in recent years in the literature on discrete optimal designs. The optimality problems have been formulated in various models arising in the experimental designs and substantial progress has been made towards solving some of these. The subject has now reached a stage of completeness which calls for a self-contained monograph on this topic. The aim of this monograph is to present the state of the art and to focus on more recent advances in this rapidly developing area. We start with a discussion of statistical optimality criteria in Chapter One. Chapters Two and Three deal with optimal block designs. Row-column designs are dealt with in Chapter Four. In Chapter Five we deal with optimal designs with mixed effects models. Repeated measurement designs are considered in Chapter Six. Chapter Seven deals with some special situations and Weighing designs are dis cussed in Chapter Eight. We have endeavoured to include all the major developments that have taken place in the last three decades. The book should be of use to research workers in several areas including combinatorics as well as to the experimenters in diverse fields of applications. Since the details of the construction of the designs are available in excellent books, we have only pointed out the designs which have optimality proper ties. We believe, this will be adequate for the experimenters.

Optimal Design of Experiments

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Release : 2011-06-28
Genre : Science
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Book Rating : 162/5 ( reviews)

Optimal Design of Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Design of Experiments write by Peter Goos. This book was released on 2011-06-28. Optimal Design of Experiments available in PDF, EPUB and Kindle. "This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

The Construction of Optimal Stated Choice Experiments

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Release : 2007-07-20
Genre : Mathematics
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Book Rating : 551/5 ( reviews)

The Construction of Optimal Stated Choice Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Construction of Optimal Stated Choice Experiments write by Deborah J. Street. This book was released on 2007-07-20. The Construction of Optimal Stated Choice Experiments available in PDF, EPUB and Kindle. The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in modeling decision-making. Many aspects of the design of a generic stated choice experiment are independent of its area of application, and until now there has been no single book describing these constructions. This book begins with a brief description of the various areas where stated choice experiments are applicable, including marketing and health economics, transportation, environmental resource economics, and public welfare analysis. The authors focus on recent research results on the construction of optimal and near-optimal choice experiments and conclude with guidelines and insight on how to properly implement these results. Features of the book include: Construction of generic stated choice experiments for the estimation of main effects only, as well as experiments for the estimation of main effects plus two-factor interactions Constructions for choice sets of any size and for attributes with any number of levels A discussion of designs that contain a none option or a common base option Practical techniques for the implementation of the constructions Class-tested material that presents theoretical discussion of optimal design Complete and extensive references to the mathematical and statistical literature for the constructions Exercise sets in most chapters, which reinforce the understanding of the presented material The Construction of Optimal Stated Choice Experiments serves as an invaluable reference guide for applied statisticians and practitioners in the areas of marketing, health economics, transport, and environmental evaluation. It is also ideal as a supplemental text for courses in the design of experiments, decision support systems, and choice models. A companion web site is available for readers to access web-based software that can be used to implement the constructions described in the book.

Optimal Experimental Design for Non-Linear Models

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Release : 2014-01-09
Genre : Mathematics
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Book Rating : 876/5 ( reviews)

Optimal Experimental Design for Non-Linear Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Experimental Design for Non-Linear Models write by Christos P. Kitsos. This book was released on 2014-01-09. Optimal Experimental Design for Non-Linear Models available in PDF, EPUB and Kindle. This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers.