Statistical Principles For The Design Of Experiments
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The Design Of Experiments
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Author : R. Mead
language : en
Publisher: Cambridge University Press
Release Date : 1990-07-26
The Design Of Experiments written by R. Mead and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-07-26 with Mathematics categories.
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.
Statistical Principles For The Design Of Experiments
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Author : R. Mead
language : en
Publisher: Cambridge University Press
Release Date : 2012-09-13
Statistical Principles For The Design Of Experiments written by R. Mead and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Mathematics categories.
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.
Statistical Principles In Experimental Design
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Author : B. J. Winer
language : en
Publisher:
Release Date : 1962
Statistical Principles In Experimental Design written by B. J. Winer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Science categories.
Statistical Principles For The Design Of Experiments
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Author : Roger Mead
language : en
Publisher:
Release Date : 2012
Statistical Principles For The Design Of Experiments written by Roger Mead and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Experimental design categories.
The Design Of Experiments
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Author : Roger Mead
language : en
Publisher:
Release Date : 1991
The Design Of Experiments written by Roger Mead and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
The Design Of Experiments
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Author : Roger Mead
language : en
Publisher:
Release Date : 1990
The Design Of Experiments written by Roger Mead and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Statistical Principles For The Design Of Experiments
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Author : R. Mead
language : en
Publisher: Cambridge University Press
Release Date : 2012-09-13
Statistical Principles For The Design Of Experiments written by R. Mead and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Mathematics categories.
Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.
Statistical Principles In Experimental Design
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Author : B. J. Winer
language : en
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
Release Date : 1991
Statistical Principles In Experimental Design written by B. J. Winer and has been published by McGraw-Hill Humanities, Social Sciences & World Languages this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.
A revision of this classic statistics text for first-year graduate students in psychology, education and related social sciences. The two new authors are former students of Winer's. They have updated, rewritten and reorganized the text to fit the course as it is now taught.
Design Of Experiments
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Author : Virgil L. Anderson
language : en
Publisher: Routledge
Release Date : 2018-12-13
Design Of Experiments written by Virgil L. Anderson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Mathematics categories.
The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work. No advanced mathematics is needed to utilize Design of Experiments – the necessary statistical concepts and briefly reviewed in the first two chapters. Subsequent chapters explain why and how the design of experiments in an intrinsic part of the scientific method, what problems will be encountered by the researcher in setting up his experiment and how to deal with them, and how to accurately analyze the result in terms of the sample taken and the method used. Each chapter includes problems encountered in specific fields so that the reader can test himself on his comprehension of the material. The diversity of the applications that these problems encompass also allows the reader to grasp the basic principles that unite the statistical approach to experiment design. Researchers and students in engineering, agriculture, pharmacy, veterinary science, chemistry, biology, the social; sciences, statistics, mathematics, or any other field that requires the design, solution, and analysis of problems will find this book absolutely indispensable.
Designed Experiments For Science And Engineering
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Author : Michael D. Holloway
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Designed Experiments For Science And Engineering written by Michael D. Holloway and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Science categories.
Designed Experiments for Science and Engineering is a versatile and overarching toolkit that explores various methods of designing experiments for over 20 disciplines in science and engineering. Designed experiments provide a structured approach to hypothesis testing, data analysis, and decision‐making. They allow researchers and engineers to efficiently explore multiple factors, interactions, and their impact on outcomes, ultimately leading to better‐designed processes, products, and systems across a wide range of scientific and engineering disciplines. Each discipline covered in this book includes the key characteristics of the steps in choosing and executing the experimental designs (one factor, fractional factorial, mixture experimentation, factor central composite, 3‐factor + central composite, etc.) and reviews the various statistical tools used as well as the steps in how to utilize each (standard deviation analysis, analysis of variance [ANOVA], relative standard deviation, bias analysis, etc.). This book is essential reading for students and professionals who are involved in research and development within various fields in science and engineering, such as mechanical engineering, environmental science, manufacturing, and aerospace engineering.