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Author: Lennart Eriksson
Publisher: MKS Umetrics AB
ISBN: 9789197373043
Category : Experimental design
Languages : en
Pages : 459
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Book Description
Author: Lennart Eriksson
Publisher: MKS Umetrics AB
ISBN: 9789197373043
Category : Experimental design
Languages : en
Pages : 459
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Book Description
Author: Kamel Rekab
Publisher: CRC Press
ISBN: 142005631X
Category : Business & Economics
Languages : en
Pages : 253
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Book Description
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
Author: Edward M. Noll
Publisher: Sams
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
Author: Ajit C. Tamhane
Publisher: John Wiley & Sons
ISBN: 1118491432
Category : Science
Languages : en
Pages : 724
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Book Description
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: Zachary F. Burton
Publisher: Academic Press
ISBN: 9780121473709
Category : Science
Languages : en
Pages : 252
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Book Description
Experiments in Molecular Biology provides a thorough introduction to recombinant DNA methods used in molecular biology and nucleic acid biochemistry. This unique laboratory manual is particularly appropriate for courses in molecular cloning, molecular genetics techniques, molecular biology techniques, recombinant DNA techniques, bacterial genetics techniques, and genetic engineering. Included is an especially helpful section to aid new instructors in avoiding potential pitfalls of specific experiments. Key Features * Contains student-tested, easy-to-follow protocols * Presents background information that reinforces principles behind the methods presented * Includes questions at the end of laboratory exercises * Provides both detailed descriptions of experimental procedures and a theoretical support section * Sequentially links experiments to provide a "project" approach to studying molecular biochemistry * Includes student-tested, easy-to-follow protocols * Background information reinforces principles behind the methods presented * Includes questions at the end of laboratory exercises * Advises new instructors on potential pitfalls of specific experiments * Provides both detailed descriptions of experimental procedures and a theoretical support section * Sequentially links experiments to provide a "project" approach to studying
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: Carrillo-Cedillo, Eugenia Gabriela
Publisher: IGI Global
ISBN: 179981520X
Category : Science
Languages : en
Pages : 429
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Book Description
Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.
Author: Theodore Garland
Publisher: Univ of California Press
ISBN: 0520261801
Category : Nature
Languages : en
Pages : 752
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Book Description
This volume summarizes studies in experimental evolution, outlining current techniques and applications, and presenting the field's range of research.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309052319
Category : Science
Languages : en
Pages : 231
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Book Description
Plasma science is the study of ionized states of matter. This book discusses the field's potential contributions to society and recommends actions that would optimize those contributions. It includes an assessment of the field's scientific and technological status as well as a discussion of broad themes such as fundamental plasma experiments, theoretical and computational plasma research, and plasma science education.
Author: R. Mead
Publisher: Cambridge University Press
ISBN: 9780521287623
Category : Mathematics
Languages : en
Pages : 640
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Book Description
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.
