Concerned with statistical problems of assessing the dependability, precision and bias of measurements. Using a practical approach, it features enough theoretical material enabling users of relevant techniques to understand why and how the vast array of concepts and methods can be applied. Coverage includes analysis of variance, linear regression and chi-square tests for two-way contingency tables.

First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.

"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.

The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific research. This book provides a practically orientated guide to the statistical models used in the evaluation of measurement errors with a wide variety of illustrative examples taken from across the sciences. After introducing basic concepts, such as precision, reproducibility and reliability, a detailed discussion of the sources of variability of measurements and associated variance components models is provided. The central chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple paired comparisons to more complex studies involving three or more methods. This leads on to a review of methods for categorical measures.

Using clear language, this book shows you how to build in, evaluate, and demonstrate reliability and availability of components, equipment, and systems. It presents the state of the art in theory and practice, and is based on the author's 30 years' experience, half in industry and half as professor of reliability engineering at the ETH, Zurich. In this extended edition, new models and considerations have been added for reliability data analysis and fault tolerant reconfigurable repairable systems including reward and frequency / duration aspects. New design rules for imperfect switching, incomplete coverage, items with more than 2 states, and phased-mission systems, as well as a Monte Carlo approach useful for rare events are given. Trends in quality management are outlined. Methods and tools are given in such a way that they can be tailored to cover different reliability requirement levels and be used to investigate safety as well. The book contains a large number of tables, figures, and examples to support the practical aspects.

The revised edition of this book offers an expanded overview of the reliability design of mechanical systems and describes the reliability methodology, including a parametric accelerated life test (ALT) plan, a load analysis, a tailored series of parametric ALTs with action plans, and an evaluation of the final designs to ensure the design requirements are satisfied. It covers both the quantitative and qualitative approaches of the reliability design forming in the development process of mechanical products, with a focus on parametric ALT and illustrated via case studies. This new reliability methodology – parametric ALT should help mechanical and civil engineers to uncover design parameters improving product design and avoiding recalls. Updated chapters cover product recalls and assessment of their significance, modern definitions in reliability engineering, parametric accelerated life testing in mechanical systems, and extended case studies. For this revised edition, one new chapter has been introduced to reflect recent developments in analysis of fluid motion and mechanical vibration. Other chapters are expanded and updated to improve the explanation of topics including structures and load analysis, failure mechanics, design and reliability testing, and mechanical system failure. The broad scope gives the reader an overview of the state-of-the-art in the reliability design of mechanical systems and an indication of future directions and applications. It will serve as a solid introduction to the field for advanced students, and a valuable reference for those working in the development of mechanical systems and related areas.

"Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. This book presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, and elaborating their practical applications and limitations rather than detailed derivations. Features: provides a practical and comprehensive overview of reliability and risk analysis and design techniques. Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies. Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects. Introduces probability theory, statistical methods, and reliability analysis methods. Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design"--