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Statistical Design

2008-04-03 Mathematics
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Release : 2008-04-03
Genre : Mathematics
Kind : eBook
Book Rating : 646/5 ( reviews)

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Book Synopsis Statistical Design by : George Casella

Download or read book Statistical Design written by George Casella. This book was released on 2008-04-03. Available in PDF, EPUB and Kindle. Book excerpt: Statistical design is one of the fundamentals of our subject, being at the core of the growth of statistics during the previous century. In this book the basic theoretical underpinnings are covered. It describes the principles that drive good designs and good statistics. Design played a key role in agricultural statistics and set down principles of good practice, principles that still apply today. Statistical design is all about understanding where the variance comes from, and making sure that is where the replication is. Indeed, it is probably correct to say that these principles are even more important today.

Statistical Design and Analysis of Engineering Experiments

1973 Science
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Release : 1973
Genre : Science
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Statistical Design and Analysis of Engineering Experiments by : Charles Lipson

Download or read book Statistical Design and Analysis of Engineering Experiments written by Charles Lipson. This book was released on 1973. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Design - Chemometrics

2006-01-27 Science
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Release : 2006-01-27
Genre : Science
Kind : eBook
Book Rating : 134/5 ( reviews)

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Book Synopsis Statistical Design - Chemometrics by : Roy E Bruns

Download or read book Statistical Design - Chemometrics written by Roy E Bruns. This book was released on 2006-01-27. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses. -Provides 42 case studies containing step-by-step descriptions of calculational procedures that can be applied to most real optimization problems -Contains 106 theoretical exercises to test individual learning and to provide classroom exercises and material for written tests and exams -Written in a language that facilitates learning for physical and biological scientists and engineers -Takes a practical approach for those involved in industrial optimization problems

Statistical Design of Experiments with Engineering Applications

2005-04-08 Mathematics
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Release : 2005-04-08
Genre : Mathematics
Kind : eBook
Book Rating : 258/5 ( reviews)

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Book Synopsis Statistical Design of Experiments with Engineering Applications by : Kamel Rekab

Download or read book Statistical Design of Experiments with Engineering Applications written by Kamel Rekab. This book was released on 2005-04-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Design and Analysis of Biological Experiments

2021-04-15 Mathematics
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Release : 2021-04-15
Genre : Mathematics
Kind : eBook
Book Rating : 413/5 ( reviews)

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Book Synopsis Statistical Design and Analysis of Biological Experiments by : Hans-Michael Kaltenbach

Download or read book Statistical Design and Analysis of Biological Experiments written by Hans-Michael Kaltenbach. This book was released on 2021-04-15. Available in PDF, EPUB and Kindle. Book excerpt: This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.

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