Statistical Design

Author : George Casella
Publisher : Springer Science & Business Media
ISBN 13 : 0387759646
Total Pages : 325 pages
Book Rating : 4.47/5 ( download)

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Download or read book Statistical Design written by George Casella and published by Springer Science & Business Media. This book was released on 2008-04-03 with total page 325 pages. 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.

Author : Charles Lipson
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 546 pages
Book Rating : 4.66/5 ( download)

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Download or read book Statistical Design and Analysis of Engineering Experiments written by Charles Lipson and published by McGraw-Hill Companies. This book was released on 1973 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hans-Michael Kaltenbach
Publisher : Springer Nature
ISBN 13 : 3030696413
Total Pages : 281 pages
Book Rating : 4.12/5 ( download)

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Download or read book Statistical Design and Analysis of Biological Experiments written by Hans-Michael Kaltenbach and published by Springer Nature. This book was released on 2021-04-15 with total page 281 pages. 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.

Author : Roy E Bruns
Publisher : Elsevier
ISBN 13 : 9780080462134
Total Pages : 422 pages
Book Rating : 4.38/5 ( download)

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Download or read book Statistical Design - Chemometrics written by Roy E Bruns and published by Elsevier. This book was released on 2006-01-27 with total page 422 pages. 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

Author : Arnold D. Well
Publisher : Psychology Press
ISBN 13 : 1135641080
Total Pages : 871 pages
Book Rating : 4.85/5 ( download)

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Download or read book Research Design & Statistical Analysis written by Arnold D. Well and published by Psychology Press. This book was released on 2003-01-30 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover

Author : Kamel Rekab
Publisher : CRC Press
ISBN 13 : 1574446258
Total Pages : 257 pages
Book Rating : 4.58/5 ( download)

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Download or read book Statistical Design of Experiments with Engineering Applications written by Kamel Rekab and published by CRC Press. This book was released on 2005-04-08 with total page 257 pages. 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.

Author : Michael Orshansky
Publisher : Springer Science & Business Media
ISBN 13 : 0387690115
Total Pages : 319 pages
Book Rating : 4.17/5 ( download)

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Download or read book Design for Manufacturability and Statistical Design written by Michael Orshansky and published by Springer Science & Business Media. This book was released on 2007-10-28 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design for Manufacturability and Statistical Design: A Comprehensive Approach presents a comprehensive overview of methods that need to be mastered in understanding state-of-the-art design for manufacturability and statistical design methodologies. Broadly, design for manufacturability is a set of techniques that attempt to fix the systematic sources of variability, such as those due to photolithography and CMP. Statistical design, on the other hand, deals with the random sources of variability. Both paradigms operate within a common framework, and their joint comprehensive treatment is one of the objectives of this book and an important differentation.

Author : Mitchell Katz
Publisher : Cambridge University Press
ISBN 13 : 1139643738
Total Pages : 229 pages
Book Rating : 4.33/5 ( download)

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Download or read book Study Design and Statistical Analysis written by Mitchell Katz and published by Cambridge University Press. This book was released on 2006-06-22 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research by asking and answering the most basic questions about doing research studies. Making good use of numerous tables, graphs and tips, this book helps to demystify the process. A generous number of up-to-date examples from the clinical literature give an illustrated and practical account of how to use multivariable analysis.

Author : Weichung Joe Shih
Publisher : CRC Press
ISBN 13 : 1000462757
Total Pages : 405 pages
Book Rating : 4.53/5 ( download)

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Download or read book Statistical Design, Monitoring, and Analysis of Clinical Trials written by Weichung Joe Shih and published by CRC Press. This book was released on 2021-10-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

Author : Leslie Kish
Publisher : John Wiley & Sons
ISBN 13 : 0471725188
Total Pages : 293 pages
Book Rating : 4.83/5 ( download)

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Download or read book Statistical Design for Research written by Leslie Kish and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. This title addresses those basic aspects of research design which are common to many related fields in the social sciences, health sciences, education, and market research. The work presents a unified approach to a common core of problems of statistical design that exists in all these fields, along with basic similarities in practical solutions. Describing many examples and analogies that are 'portable' from application field to application field, Statistical Design for Research deals with designs that are the primary basis of research studies, but are neglected in most statistical textbooks that tend to concentrate on statistical analysis. This text takes a broader, more general and philosophical view of the statistics for the more fundamental aspects of design than do the standard treatments of experimental design. Extensively illustrated and carefully organized into seven chapters and 44 sections, this book can be readily consulted by research workers or graduate students!