摘要翻译：
这本统计科学的特别卷提出了一些创新的，如果不是挑衅性的，在可靠性领域的想法，或者也许更恰当地命名为综合系统评估。在这个科学、工程和技术呈指数增长的时代，评估复杂系统的性能、可靠性和安全性的能力提出了新的挑战。今天的方法必须满足对这种评价的日益增加的要求，以便为各级政府和工业的决策和决策者提供关键信息----从国际安全到空间探索的各种问题。我们，本书的共同编辑和作者，认为可靠性评估的科学进步需要开发过程、方法和工具，将来自不同来源（如科学家、工程师、商业开发人员、技术集成商、决策者）的不同信息类型（如实验、计算机模拟、专家知识）结合起来，以评估可以帮助不确定性下决策的定量性能指标。这些都是高度跨学科的问题。统计科学的主要作用是给这些问题带来统计学的严谨性、思维和方法论。
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英文标题：
《Reliability》
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作者：
Sallie Keller-McNulty, Alyson Wilson, Christine Anderson-Cook
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最新提交年份：
2007
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分类信息：

一级分类：Statistics        统计学
二级分类：Methodology        方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
  This special volume of Statistical Sciences presents some innovative, if not provocative, ideas in the area of reliability, or perhaps more appropriately named, integrated system assessment. In this age of exponential growth in science, engineering and technology, the capability to evaluate the performance, reliability and safety of complex systems presents new challenges. Today's methodology must respond to the ever-increasing demands for such evaluations to provide key information for decision and policy makers at all levels of government and industry--problems ranging from international security to space exploration. We, the co-editors of this volume and the authors, believe that scientific progress in reliability assessment requires the development of processes, methods and tools that combine diverse information types (e.g., experiments, computer simulations, expert knowledge) from diverse sources (e.g., scientists, engineers, business developers, technology integrators, decision makers) to assess quantitative performance metrics that can aid decision making under uncertainty. These are highly interdisciplinary problems. The principal role of statistical sciences is to bring statistical rigor, thinking and methodology to these problems.
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PDF链接：
https://arxiv.org/pdf/708.0295