摘要
之前的学术研究过多地侧重于无约束条件下的概率分布预测研究,而对有约束条件下的概率分布预测研究较少涉及。此次研究以此为研究重点,通过对无约束条件问题的优点与不足进行深入分析,确定了研究的方向。在此基础上,将凸集理论、最优分析理论和概率与统计理论相结合,从而找到了破解有约束概率分布的求解方法,并从理论上对此问题的具体实现给出了解决方法和解决步骤。
Prior academic research too much focus on the unconstrained condition probability distribution prediction, and the constraint conditions of the probability distribution of the predicted fewer studies involving. The research focus of this study, based on unconstrained conditions, advantages and disadvantages of in-depth analysis, determine the direction of research. On this basis, the theory of convex set, the optimum analysis theory and probability and statistics theory, so as to find the crack constraint probability distribution method, and theoretically the concrete realization of the problem solving methods are given and the solving steps.
出处
《科技通报》
北大核心
2013年第8期4-6,共3页
Bulletin of Science and Technology
关键词
条件约束
概率分布
预测
研究
凸集
constraint
probability distribution
prediction
research
convex set
