Praise for the First Edition: "If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library." —Journal of the American Statistical Association A COMPREHENSIVE REVIEW OF MODERN EXPERIMENTAL DESIGN Experiments: Planning, Analysis, and Optimization, Third Edition provides a complete discussion of modern experimental design for product and process improvement—the design and analysis of experiments and their applications for system optimization, robustness, and treatment comparison. While maintaining the same easy-to-follow style as the previous editions, this book continues to present an integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. New chapters provide modern updates on practical optimal design and computer experiments, an explanation of computer simulations as an alternative to physical experiments. Each chapter begins with a real-world example of an experiment followed by the methods required to design that type of experiment. The chapters conclude with an application of the methods to the experiment, bridging the gap between theory and practice. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. The third edition includes: Information on the design and analysis of computer experiments A discussion of practical optimal design of experiments An introduction to conditional main effect (CME) analysis and definitive screening designs (DSDs) New exercise problems This book includes valuable exercises and problems, allowing the reader to gauge their progress and retention of the book's subject matter as they complete each chapter. Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments: Planning, Analysis, and Optimization, Third Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses -- algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward. This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises. Noteworthy highlights of the book include Bayesian approaches for the following: Goodness-of-fit and model selection methods Hierarchical models for reliability estimation Fault tree analysis methodology that supports data acquisition at all levels in the tree Bayesian networks in reliability analysis Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria Analysis of nondestructive and destructive degradation data Optimal design of reliability experiments Hierarchical reliability assurance testing
The completely revised and updated, definitive resource for students and professionals in organic chemistry The revised and updated 8th edition of March's Advanced Organic Chemistry: Reactions, Mechanisms, and Structure explains the theories of organic chemistry with examples and reactions. This book is the most comprehensive resource about organic chemistry available. Readers are guided on the planning and execution of multi-step synthetic reactions, with detailed descriptions of all the reactions The opening chapters of March's Advanced Organic Chemistry, 8th Edition deal with the structure of organic compounds and discuss important organic chemistry bonds, fundamental principles of conformation, and stereochemistry of organic molecules, and reactive intermediates in organic chemistry. Further coverage concerns general principles of mechanism in organic chemistry, including acids and bases, photochemistry, sonochemistry and microwave irradiation. The relationship between structure and reactivity is also covered. The final chapters cover the nature and scope of organic reactions and their mechanisms. This edition: Provides revised examples and citations that reflect advances in areas of organic chemistry published between 2011 and 2017 Includes appendices on the literature of organic chemistry and the classification of reactions according to the compounds prepared Instructs the reader on preparing and conducting multi-step synthetic reactions, and provides complete descriptions of each reaction The 8th edition of March's Advanced Organic Chemistry proves once again that it is a must-have desktop reference and textbook for every student and professional working in organic chemistry or related fields. Winner of the Textbook & Acadmic Authors Association 2021 McGuffey Longevity Award.
The most authoritative, comprehensive, and clinicallyfocused guide to operative thoracic surgery--updatedwith the latest techniques and technologies A Doody’s Core Title for 2019! Adult Chest Surgery is a thorough, hands-on guide to the modern practice of general thoracic surgery. Broad in scope and straightforward in style and presentation, this classic is an outstanding reference for any clinician in need of a comprehensive description ofthe clinical nature of general thoracic surgery. Like its award-winning predecessor, the second edition of Adult Chest Surgery focuses on providing concise descriptions of current techniques and surgical principles for the most common thoracic surgical problems encountered in the clinic and the operating room. This edition is enhanced by 40 new chapters devoted to a range of topics including new endoscopic techniques for antireflux surgery; percutaneous thoracic tumor ablation; peroral esophageal myotomy; robotic techniques for lobectomy, esophagectomy, and thymectomy; and other new minimally invasive approaches to standard thoracic resections. It is also enriched by more than 250 new detailed illustrations of procedures, bringing the total number to 850. Adult Chest Surgery features a logical organization based on anatomy, and each section has an overview chapter, which summarizes the relevant anatomy, pathophysiology, and diagnostic and procedural options. Throughout, operations and diagnostic procedures are highlighted in succinct, illustrated technique chapters.
Compendium of Organic Synthetic Methods, Volume 11 continues the motivation of the series, which is to facilitate the search for quality, selected functional group transformations, organized by reacting functional group of starting material and functional group formed, with full references to each reaction.
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