Graphical Methods For The Design Of Experiments

Author : Russell R. Barton
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461213987

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Graphical Methods for the Design of Experiments by Russell R. Barton Pdf

Most texts on the design of experiments focus on the analysis of experimental data, not on the creation of the design. Graphical Methods for Experimental Design presents a strategic view of the planning of experiments, and provides a number of graphical tools that are useful for justifying the effort required for experimentation, identifying variables and candidate statistical models, selecting the set of run conditions and for assessing the quality of the design. In addition, the graphical framework for creating fractional factorial designs is used to present experimental results in a way that is easier to understand than a set of model coefficients. The text merely assumes a basic knowledge of statistics and matrices, while many of the graphical techniques are accessible without any knowledge of statistical models, requiring only some familiarity with the plotting of functions and with the concept of projection from elementary mechanical drawing.

Author : Armin Lindauer,Betina Müller
Publisher : Unknown
Page : 0 pages
File Size : 55,7 Mb
Release : 2015
Category : Electronic
ISBN : 3721209125

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Experimental Design (German Edition with English Language Inserts) by Armin Lindauer,Betina Müller Pdf

This visual reference book comprehensively shows how experimentation and methodology can be used in the design process, thus resulting in creative design solutions.

Author : K. KRISHNAIAH,P. SHAHABUDEEN
Publisher : PHI Learning Pvt. Ltd.
Page : 371 pages
File Size : 47,6 Mb
Release : 2012-01-18
Category : Business & Economics
ISBN : 9788120345270

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APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS by K. KRISHNAIAH,P. SHAHABUDEEN Pdf

Design of experiments (DOE) is an off-line quality assurance technique used to achieve best performance of products and processes. This book covers the basic ideas, terminology, and the application of techniques necessary to conduct a study using DOE. The text is divided into two parts—Part I (Design of Experiments) and Part II (Taguchi Methods). Part I (Chapters 1–8) begins with a discussion on basics of statistics and fundamentals of experimental designs, and then, it moves on to describe randomized design, Latin square design, Graeco-Latin square design. In addition, it also deals with statistical model for a two-factor and three-factor experiments and analyses 2k factorial, 2k-m fractional factorial design and methodology of surface design. Part II (Chapters 9–16) discusses Taguchi quality loss function, orthogonal design, objective functions in robust design. Besides, the book explains the application of orthogonal arrays, data analysis using response graph method/analysis of variance, methods for multi-level factor designs, factor analysis and genetic algorithm. This book is intended as a text for the undergraduate students of Industrial Engineering and postgraduate students of Mechtronics Engineering, Mechanical Engineering, and Statistics. In addition, the book would also be extremely useful for both academicians and practitioners KEY FEATURES : Includes six case studies of DOE in the context of different industry sector. Provides essential DOE techniques for process improvement. Introduces simple graphical methods for reducing time taken to design and develop products.

Author : Gary W. Oehlert
Publisher : W. H. Freeman
Page : 600 pages
File Size : 49,7 Mb
Release : 2000-01-19
Category : Mathematics
ISBN : 0716735105

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A First Course in Design and Analysis of Experiments by Gary W. Oehlert Pdf

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 : Jiju Antony
Publisher : Elsevier
Page : 296 pages
File Size : 48,5 Mb
Release : 2023-06-02
Category : Technology & Engineering
ISBN : 9780443151743

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Design of Experiments for Engineers and Scientists by Jiju Antony Pdf

This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. Written in nonstatistical 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 two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry

Author : Anonim
Publisher : Unknown
Page : 354 pages
File Size : 55,6 Mb
Release : 1990
Category : Experimental design
ISBN : CHI:34365530

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Proceedings of the ... Conference on the Design of Experiments by Anonim Pdf

Author : William Wade Fitzherbert Pullen
Publisher : Unknown
Page : 344 pages
File Size : 50,6 Mb
Release : 1896
Category : Graphic statics
ISBN : WISC:89080452469

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The Application of Graphic Methods to the Design of Structures by William Wade Fitzherbert Pullen Pdf

Author : Erkki Liski
Publisher : Springer Science & Business Media
Page : 190 pages
File Size : 54,5 Mb
Release : 2002-02-08
Category : Mathematics
ISBN : 0387953485

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Topics in Optimal Design by Erkki Liski Pdf

This book covers a wide range of topics in both discrete and continuous optimal designs. The topics discussed include designs for regression models, covariates models, models with trend effects, and models with competition effects. The prerequisites are a basic course in the design and analysis of experiments and some familiarity with the concepts of optimality criteria.

Author : Dharmaraja Selvamuthu
Publisher : Springer Nature
Page : 623 pages
File Size : 49,7 Mb
Release : 2024-06-28
Category : Electronic
ISBN : 9789819993635

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Introduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Control by Dharmaraja Selvamuthu Pdf

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 43,6 Mb
Release : 2007-02-02
Category : Mathematics
ISBN : 9780471210771

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Modern Experimental Design by Thomas P. Ryan Pdf

A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

Author : Angela Dean,Susan Lewis
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 52,5 Mb
Release : 2006-07-28
Category : Mathematics
ISBN : 9780387280141

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Screening by Angela Dean,Susan Lewis Pdf

The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study. This book brings together accounts by leading international experts that are essential reading for those working in fields such as industrial quality improvement, engineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models. Our aim is to promote cross-fertilization of ideas and methods through detailed explanations, a variety of examples and extensive references. Topics cover both physical and computer simulated experiments. They include screening methods for detecting factors that affect the value of a response or its variability, and for choosing between various different response models. Screening for disease in blood samples, for genes linked to a disease and for new compounds in the search for effective drugs are also described. Statistical techniques include Bayesian and frequentist methods of data analysis, algorithmic methods for both the design and analysis of experiments, and the construction of fractional factorial designs and orthogonal arrays. The material is accessible to graduate and research statisticians, and to engineers and chemists with a working knowledge of statistical ideas and techniques. It will be of interest to practitioners and researchers who wish to learn about useful methodologies from within their own area as well as methodologies that can be translated from one area to another.

Author : Jiju Antony
Publisher : Elsevier
Page : 190 pages
File Size : 49,9 Mb
Release : 2003-09-05
Category : Technology & Engineering
ISBN : 9780080469959

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Design of Experiments for Engineers and Scientists by Jiju Antony Pdf

The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in 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 by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma. Key features: * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods – reducing time taken to design and develop prototypes, reducing time to reach the market * Case studies place DOE techniques in the context of different industry sectors * An excellent resource for the Six Sigma training program This book will be useful to 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. Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs. * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and conduct tests * Case studies place DOE techniques in the context of different industry sectors

Author : Anonim
Publisher : Unknown
Page : 410 pages
File Size : 41,6 Mb
Release : 1991
Category : Experimental design
ISBN : CHI:34365787

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Proceedings of the ... Conference on the Design of Experiments by Anonim Pdf

Author : Hans-Michael Kaltenbach
Publisher : Springer Nature
Page : 281 pages
File Size : 45,7 Mb
Release : 2021-04-15
Category : Mathematics
ISBN : 9783030696412

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Statistical Design and Analysis of Biological Experiments by Hans-Michael Kaltenbach Pdf

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.

Author : Jim Morrison
Publisher : John Wiley & Sons
Page : 192 pages
File Size : 40,9 Mb
Release : 2009-06-15
Category : Mathematics
ISBN : 0470746432

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Statistics for Engineers by Jim Morrison Pdf

This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.