Statistical Analysis of Designed Experiments

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Release : 2006-05-09
Genre : Mathematics
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Book Rating : 725/5 ( reviews)

Statistical Analysis of Designed Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Designed Experiments write by Helge Toutenburg. This book was released on 2006-05-09. Statistical Analysis of Designed Experiments available in PDF, EPUB and Kindle. Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.

Statistical Analysis of Designed Experiments

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Release : 2012-09-12
Genre : Science
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Book Rating : 432/5 ( reviews)

Statistical Analysis of Designed Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Designed Experiments write by Ajit C. Tamhane. This book was released on 2012-09-12. Statistical Analysis of Designed Experiments available in PDF, EPUB and Kindle. 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. MinitabĀ® 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.

Practical Data Analysis for Designed Experiments

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Release : 2017-11-22
Genre : Mathematics
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Book Rating : 995/5 ( reviews)

Practical Data Analysis for Designed Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Data Analysis for Designed Experiments write by Brian S. Yandell. This book was released on 2017-11-22. Practical Data Analysis for Designed Experiments available in PDF, EPUB and Kindle. Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data.

Understanding Statistics and Experimental Design

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Release : 2019-08-13
Genre : Science
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Book Rating : 992/5 ( reviews)

Understanding Statistics and Experimental Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Understanding Statistics and Experimental Design write by Michael H. Herzog. This book was released on 2019-08-13. Understanding Statistics and Experimental Design available in PDF, EPUB and Kindle. 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.

Handbook of Design and Analysis of Experiments

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Release : 2015-06-26
Genre : Mathematics
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Book Rating : 34X/5 ( reviews)

Handbook of Design and Analysis of Experiments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Design and Analysis of Experiments write by Angela Dean. This book was released on 2015-06-26. Handbook of Design and Analysis of Experiments available in PDF, EPUB and Kindle. 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.