利用前驱事件的概率技术预测

J. Martino
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引用次数: 9

摘要

作者描述了使用最大熵的方法来生成一个设备演示和市场引入之间的时间间隔的概率分布。历史数据用于生成特定类型的前兆事件与待预测的特定类型事件之间滞后时间的概率分布。概率分布可以用来估计计划将其商业化和可能允许竞争对手首先将其商业化的风险。从航空航天和汽车工业的例子来说明该技术。特别要注意的是,从几种铝合金的商业化到采用这些合金的第一架生产型飞机的首次飞行之间的滞后时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic technological forecasts using precursor events
The author describes the use of the method of maximum entropy for generating a probability distribution for the time lag between demonstration of a device and its market introduction. Historical data are used to generate a probability distribution for the lag times between a specific type of precursor event and a specific type of event to be forecast. The probability distribution can be used to estimate the risks of either planning to commercialize it and possibly allowing a competitor to commercialize it first. Examples from the aerospace and automotive industries are used to illustrate the technique. In particular, attention is given to the lag times between commercialization of several aluminum alloys and the first flight of the first production aircraft to incorporate those alloys.<>
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