Statistical Principles For The Design Of Experiments


Statistical Principles For The Design Of Experiments
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The Design Of Experiments


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


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


Statistical Principles In Experimental Design
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Author : B. J. Winer
language : en
Publisher: New York; Montreal : McGraw-Hill
Release Date : 1971

Statistical Principles In Experimental Design written by B. J. Winer and has been published by New York; Montreal : McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Science 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.



Statistical Principles For The Design Of Experiments


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


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.




Design Of Experiments


Design Of Experiments
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Author : R. O. Kuehl
language : en
Publisher: Duxbury Resource Center
Release Date : 2000

Design Of Experiments written by R. O. Kuehl and has been published by Duxbury Resource Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Analyse numérique categories.


"In this Second Edition of Design of Experiments: Statistical Principles of Research Design and Analysis, Bob Kuehl continues to treat research design as a very practical subject. He emphasizes the importance of developing a treatment design based on research hypothesis as an initial step and then developing an experimental or observational study design that facilitates efficient data collection. With the book's wide array of examples from actual studies from many scientific and technological fields, Kuehl constantly reinforces the research design process."--Back cover.



Understanding Statistics And Experimental Design


Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher: Springer
Release Date : 2019-08-13

Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Science categories.


This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.



The Design Of Experiments


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.




Medical Statistics And Computer Experiments


Medical Statistics And Computer Experiments
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Author : Ji-Qian Fang
language : en
Publisher: World Scientific Publishing Company
Release Date : 2005-08-17

Medical Statistics And Computer Experiments written by Ji-Qian Fang and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-17 with Mathematics categories.


This textbook consists of three parts: basic concepts of statistics, advanced statistical methods, and design and analysis for medical research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more easily understood, there is a section of “computer experiments” in each chapter where some basic statistical phenomena and related concepts are revealed. The statistical software SAS is used to carry out related statistical calculations. The aim of this book is to make medical students and researchers grasp easily the most useful tools of statistics for their medical research. It is done through various applications to a great number of medical problems, interesting demonstration of well-designed computer experiments and detailed explanation of statistical thinking.



Introduction To Statistical Methods Design Of Experiments And Statistical Quality Control


Introduction To Statistical Methods Design Of Experiments And Statistical Quality Control
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Author : Dharmaraja Selvamuthu
language : en
Publisher: Springer
Release Date : 2018-09-03

Introduction To Statistical Methods Design Of Experiments And Statistical Quality Control written by Dharmaraja Selvamuthu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Mathematics categories.


This book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments and statistical quality control. It is shaped by the experience of the two teachers teaching statistical methods and concepts to engineering students, over a decade. Practical examples and end-of-chapter exercises are the highlights of the text as they are purposely selected from different fields. Statistical principles discussed in the book have great relevance in several disciplines like economics, commerce, engineering, medicine, health-care, agriculture, biochemistry, and textiles to mention a few. A large number of students with varied disciplinary backgrounds need a course in basics of statistics, the design of experiments and statistical quality control at an introductory level to pursue their discipline of interest. No previous knowledge of probability or statistics is assumed, but an understanding of calculus is a prerequisite. The whole book serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering. Organised into 10 chapters, the book discusses three different courses namely statistics, the design of experiments and quality control. Chapter 1 is the introductory chapter which describes the importance of statistical methods, the design of experiments and statistical quality control. Chapters 2–6 deal with statistical methods including basic concepts of probability theory, descriptive statistics, statistical inference, statistical test of hypothesis and analysis of correlation and regression. Chapters 7–9 deal with the design of experiments including factorial designs and response surface methodology, and Chap. 10 deals with statistical quality control.