To adapt to asynchronous sampling condition, the computing method for the Markov transition probabilities is put forward.
为适应异步观测条件，提出了马尔可夫转移概率计算方法。
Based on Markov theory, a dynamic model is proposed for predicting performance of structures, and a method for determining transition probabilities of structures is given.
基于马尔可夫分析理论，给出了人才拥有量预测的马尔可夫模型，并且讨论了模型中转移概率的确定及模型的预测质量等问题。
Based on Markov theory, a dynamic model is proposed for predicting performance of structures, and a method for determining transition probabilities of structures is given.
基于马尔可夫分析理论，给出了人才拥有量预测的马尔可夫模型，并且讨论了模型中转移概率的确定及模型的预测质量等问题。
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