Handbook of Design and Analysis of Experiments PDF Download

Author: Angela Dean
Publisher: CRC Press
ISBN: 146650434X
Category : Mathematics
Languages : en
Pages : 946

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Book Description
This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

Author: Douglas C. Montgomery
Publisher: Wiley
ISBN: 9780471661597
Category : Experimental design
Languages : en
Pages : 0

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Book Description
This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Author: Charles S. Reichardt
Publisher: Guilford Publications
ISBN: 1462540201
Category : Business & Economics
Languages : en
Pages : 382

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Book Description
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Author: Gary W. Oehlert
Publisher: W. H. Freeman
ISBN: 9780716735106
Category : Mathematics
Languages : en
Pages : 600

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Book Description
Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.

Author: Geoffrey Keppel
Publisher:
ISBN:
Category : Art
Languages : en
Pages : 616

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Book Description
This book provides basic information to conduct experiments and analyze data in the behavioral, social, and biological sciences. It includes information about designs with repeated measures, analysis of covariance, structural models, and other material.

Author: James N. Druckman
Publisher: Cambridge University Press
ISBN: 0521192129
Category : Political Science
Languages : en
Pages : 577

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Book Description
This volume provides the first comprehensive overview of how political scientists have used experiments to transform their field of study.

Author: Jiju Antony
Publisher: Elsevier
ISBN: 0080994199
Category : Technology & Engineering
Languages : en
Pages : 221

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Book Description
The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry

Author: John H. Kagel
Publisher: Princeton University Press
ISBN: 0691213259
Category : Business & Economics
Languages : en
Pages : 742

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Book Description
This book, which comprises eight chapters, presents a comprehensive critical survey of the results and methods of laboratory experiments in economics. The first chapter provides an introduction to experimental economics as a whole, with the remaining chapters providing surveys by leading practitioners in areas of economics that have seen a concentration of experiments: public goods, coordination problems, bargaining, industrial organization, asset markets, auctions, and individual decision making. The work aims both to help specialists set an agenda for future research and to provide nonspecialists with a critical review of work completed to date. Its focus is on elucidating the role of experimental studies as a progressive research tool so that wherever possible, emphasis is on series of experiments that build on one another. The contributors to the volume--Colin Camerer, Charles A. Holt, John H. Kagel, John O. Ledyard, Jack Ochs, Alvin E. Roth, and Shyam Sunder--adopt a particular methodological point of view: the way to learn how to design and conduct experiments is to consider how good experiments grow organically out of the issues and hypotheses they are designed to investigate.

Author: David J. Glass
Publisher: CSHL Press
ISBN: 0879697350
Category : Biology
Languages : en
Pages : 211

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Book Description
The effective design of scientific experiments is critical to success, yet graduate students receive very little formal training in how to do it. Based on a well-received course taught by the author, Experimental Design for Biologistsfills this gap. Experimental Design for Biologistsexplains how to establish the framework for an experimental project, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to negative controls, positive controls, and other categories of controls that are perhaps less recognized, such as “assumption controls†and “experimentalist controls†. Furthermore, there are sections on establishing the experimental system, which include performing critical “system controls†. Should all experimental plans be hypothesis-driven? Is a question/answer approach more appropriate? What was the hypothesis behind the Human Genome Project? What color is the sky? How does one get to Carnegie Hall? The answers to these kinds of questions can be found in Experimental Design for Biologists. Written in an engaging manner, the book provides compelling lessons in framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. Experimental Design for Biologistsis an essential source of theory and practical guidance in designing a research plan.

Author: Geoffrey Keppel
Publisher: Pearson College Division
ISBN: 9780132243056
Category : Social Science
Languages : en
Pages : 624

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Book Description
The fifth edition of Design and Analysis continues to offer a readily accessible introduction to the designed experiment in research and the statistical analysis of the data from such experiments. Unique because it emphasizes the use of analytical procedures, this book is appropriate for all as it requires knowledge of only the most fundamental mathematical skills and little or no formal statistical background. Topics include: single- and two-factor designs with independent groups of subjects; corresponding designs with multiple observations; analysis of designs with unequal sample sizes; analysis of covariance; designs with three factors, including all combinations of between-subjects and within-subject factors; random factors and statistical generalization; and nested factors. This book lives up to its name as a handbook, because of its usefulness as a source and guide to researchers who require assistance in both planning a study and analyzing its results.