Statistical Design Of Experiments With Engineering Applications

Author : Kamel Rekab,Muzaffar Shaikh
Publisher : CRC Press
Page : 257 pages
File Size : 40,5 Mb
Release : 2005-04-08
Category : Mathematics
ISBN : 9781574446258

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Statistical Design of Experiments with Engineering Applications by Kamel Rekab,Muzaffar Shaikh Pdf

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.

Author : Jiju Antony
Publisher : Elsevier
Page : 296 pages
File Size : 50,7 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 : Paul D. Berger,Robert E. Maurer,Giovana B. Celli
Publisher : Springer
Page : 639 pages
File Size : 47,5 Mb
Release : 2017-11-28
Category : Mathematics
ISBN : 9783319645834

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Experimental Design by Paul D. Berger,Robert E. Maurer,Giovana B. Celli Pdf

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.

Author : Charles Lipson,Narendra J. Sheth
Publisher : McGraw-Hill Companies
Page : 546 pages
File Size : 42,8 Mb
Release : 1973
Category : Science
ISBN : UOM:39015006413366

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Statistical Design and Analysis of Engineering Experiments by Charles Lipson,Narendra J. Sheth Pdf

Author : Robert L. Mason,Richard F. Gunst,James L. Hess
Publisher : John Wiley & Sons
Page : 752 pages
File Size : 50,9 Mb
Release : 2003-05-09
Category : Mathematics
ISBN : 9780471458517

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Statistical Design and Analysis of Experiments by Robert L. Mason,Richard F. Gunst,James L. Hess Pdf

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies. Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions. Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs. Topics can be implemented by practitioners and do not require a high level of training in statistics. New edition includes new and updated material and computer output.

Author : Thong Ngee Goh
Publisher : Unknown
Page : 99 pages
File Size : 40,8 Mb
Release : 2013
Category : Experimental design
ISBN : 9812533346

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Quality Engineering Applications of Statistical Design of Experiments by Thong Ngee Goh Pdf

Author : Ajit C. Tamhane
Publisher : John Wiley & Sons
Page : 720 pages
File Size : 49,9 Mb
Release : 2012-09-12
Category : Science
ISBN : 9781118491430

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Statistical Analysis of Designed Experiments by Ajit C. Tamhane Pdf

A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.

Author : Zivorad R. Lazic
Publisher : John Wiley & Sons
Page : 620 pages
File Size : 44,7 Mb
Release : 2006-03-06
Category : Science
ISBN : 9783527604593

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Design of Experiments in Chemical Engineering by Zivorad R. Lazic Pdf

While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research: * screening designs * mathematical modeling, and * optimization. Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods. The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process. With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.

Author : R. Mead
Publisher : Cambridge University Press
Page : 640 pages
File Size : 53,5 Mb
Release : 1990-07-26
Category : Mathematics
ISBN : 0521287626

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The Design of Experiments by R. Mead Pdf

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.

Author : R. Mead,S. G. Gilmour,A. Mead
Publisher : Cambridge University Press
Page : 128 pages
File Size : 55,5 Mb
Release : 2012-09-13
Category : Mathematics
ISBN : 9781139576642

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Statistical Principles for the Design of Experiments by R. Mead,S. G. Gilmour,A. Mead Pdf

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all 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 real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 48,5 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 : J. Paulo Davim
Publisher : Springer
Page : 196 pages
File Size : 54,8 Mb
Release : 2015-11-06
Category : Technology & Engineering
ISBN : 9783319238388

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Design of Experiments in Production Engineering by J. Paulo Davim Pdf

This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

Author : Angela Dean,Max Morris,John Stufken,Derek Bingham
Publisher : CRC Press
Page : 946 pages
File Size : 44,8 Mb
Release : 2015-06-26
Category : Mathematics
ISBN : 9781466504349

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Handbook of Design and Analysis of Experiments by Angela Dean,Max Morris,John Stufken,Derek Bingham Pdf

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 : Anindya Ghosh,Bapi Saha,Prithwiraj Mal
Publisher : CRC Press
Page : 478 pages
File Size : 46,7 Mb
Release : 2021-12-22
Category : Mathematics
ISBN : 9781000455403

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Textile Engineering by Anindya Ghosh,Bapi Saha,Prithwiraj Mal Pdf

Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical techniques. FEATURES Explores probability, random variables, probability distribution, estimation, significance test, ANOVA, acceptance sampling, control chart, regression and correlation, design of experiments and stochastic modeling pertaining to textiles Presents step-by-step mathematical derivations Includes MATLAB® codes for solving various numerical problems Consists of case studies, practical examples and homework problems in each chapter This book is aimed at graduate students, researchers and professionals in textile engineering, textile clothing, textile management and industrial engineering. This book is equally useful for learners and practitioners in other scientific and technological domains.

Author : Thomas J. Santner,Brian J. Williams,William I. Notz
Publisher : Springer
Page : 436 pages
File Size : 53,6 Mb
Release : 2019-01-08
Category : Mathematics
ISBN : 9781493988471

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The Design and Analysis of Computer Experiments by Thomas J. Santner,Brian J. Williams,William I. Notz Pdf

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners