Stoachastic methods applied to reliability

机译：随机方法应用于可靠性

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Statistical optimization techniques such as Multi Stage Monte Carlo Optimization (MSMCO) and other adaptive, self correcting, and self learning techniques are becoming more prominent because small computers are cheap and powerful and easy to program in our twenty first century. Under the general theme of reliability, MSMCO will be used to solve for how many different types of components and backup components are needed when a device consisting of several components in a series arrangement must function reliably say 99.95% of the time. Next, the featured example will involve the new VTSPA computer statistic to test for multiple population variability.

机译：统计优化技术，例如多级蒙特卡洛优化（MSMCO）和其他自适应，自校正和自学习技术，在我们二十世纪初由于小型计算机便宜，功能强大且易于编程而变得越来越重要。在可靠性的一般主题下，当由几个串联组件组成的设备必须在99.95％的时间内可靠运行时，MSMCO将用于解决需要多少种不同类型的组件和备用组件。接下来，特色示例将涉及新的VTSPA计算机统计数据，以测试多个总体变异性。

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《International Conference on Quality, Reliability, and Maintenance(QRM 2004); 20040401-20040402; Oxford; GB》|2004年|P.209-212|共4页
会议地点 Oxford(GB);Oxford(GB)
作者
W CONLEY;
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Department of Business Administration, University of Wisconsin, USA;

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正文语种 eng
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Stoachastic methods applied to reliability

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