DESIGN OF EXPERIMENTS

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Design And Analysis Of Experiments Volume 2

Author : Klaus Hinkelmann
ISBN : 9780471709930
Genre : Mathematics
File Size : 34.81 MB
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The development and introduction of new experimental designs in the last fifty years has been quite staggering, brought about largely by an ever-widening field of applications. Design and Analysis of Experiments, Volume 2: Advanced Experimental Design is the second of a two-volume body of work that builds upon the philosophical foundations of experimental design set forth by Oscar Kempthorne half a century ago and updates it with the latest developments in the field. Designed for advanced-level graduate students and industry professionals, this text includes coverage of incomplete block and row-column designs; symmetrical, asymmetrical, and fractional factorial designs; main effect plans and their construction; supersaturated designs; robust design, or Taguchi experiments; lattice designs; and cross-over designs.
Category: Mathematics

Design Of Experiments

Author : Max Morris
ISBN : 9781439894903
Genre : Mathematics
File Size : 22.24 MB
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Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.
Category: Mathematics

Model Oriented Design Of Experiments

Author : Valerii V. Fedorov
ISBN : 0387982159
Genre : Mathematics
File Size : 70.99 MB
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Experimental design is an area of interested to statisticians working in many applied areas. This monograph by two of the leading researchers in the area discussed the optimal design of experiments. It assumes only a moderate background in calculus and statistics, and will of of interest to graduate students and researchers.
Category: Mathematics

Fundamental Concepts In The Design Of Experiments

Author : Charles Robert Hicks
ISBN : UOM:39015016358494
Genre : Mathematics
File Size : 84.25 MB
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The experiment, the design, and the analysis. Review if statistical inference. Single-factor experiments with no restrictions on randomization. Single-factor experiments-randomized block and latin square designs. Factorial experiments. Factorial experiments. Qualitative and quantitative factors. Multiple regression. Factorial experiments. Fixed, random, and mixed models. Nested and nested-factorial experiments. Experiments of two or more factors-restrictions on randomization. Factorial experiment-splot-plot design. Factorial experiment-Condounding in blocks. Fractorial replication. Miscellaneous topics.
Category: Mathematics

The Design Of Experiments In Neuroscience

Author : Mary Harrington
ISBN : 9781412974325
Genre : Medical
File Size : 48.57 MB
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“You are about to start on a great adventure. You are going to transition from reading about science to becoming a scientist.” -From the Preface Using engaging, disarming prose, author Mary Harrington shows neuroscience students how to go about selecting a topic, designing an experiment, analyzing the results, and publishing a paper. This text effectively illustrates basic research methods and design principles by uniquely using relevant examples from neuroscience such as the principles of design of fMRI studies, the use of transgenic mice, and conditional gene knockouts. The author also addresses basic professional ethics, fundamental statistics and data analysis tools, the range of possible experimental designs (from simple descriptive studies to multifactorial designs), and ways to control unwanted variables and avoid common pitfalls. This text is intended as either a core or supplemental text for both undergraduates and graduate students studying research methods in Neuroscience, Neuroanatomy, Neurophysiology, Neurochemistry, or Biological Psychology.
Category: Medical

Design Of Experiments For Engineers And Scientists

Author : Jiju Antony
ISBN : 9780080994192
Genre : Technology & Engineering
File Size : 55.57 MB
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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
Category: Technology & Engineering

The Design Of Experiments

Author : R. Mead
ISBN : 0521287626
Genre : Mathematics
File Size : 21.84 MB
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In all the experimental sciences, good design of experiments is crucial to the success of research. Well-planned experiments can provide a great deal of information efficiently and can be used to test several hypotheses simultaneously. This book is about the statistical principles of good experimental design and is intended for all applied statisticians and practising scientists engaged in the design, implementation and analysis of experiments. Professor Mead has written the book with the emphasis on the logical principles of statistical design and employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he is thus able to devote more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry and other disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design of experiments can make to a scientific project.
Category: Mathematics

Design Of Experiments Using The Taguchi Approach

Author : Ranjit K. Roy
ISBN : 0471361011
Genre : Technology & Engineering
File Size : 52.69 MB
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Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system. Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include: * An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book * Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text * Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.
Category: Technology & Engineering

Design Of Experiments

Author : Virgil L. Anderson
ISBN : 0824761316
Genre : Mathematics
File Size : 52.31 MB
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Review of some basic statistical concepts; Some intermediate data analysis concepts; A scientific approach to experimentation; Completely randomized design; Randomized complete block design; Nested hierarchical and nested factorial designs; Split plot type designs; Latin square type designs; Factorial experiments; Fractional factorial experiments for two-leveled factors; Three-level factorial experiments.
Category: Mathematics