A sequential procedure was adopted for the discrimination of these models with the experimental data, and for the precise estimation of the parameters in the optimal models.

运用序贯实验设计方法，用所得的实验数据对这些模型进行筛选，并对所选出的最优模型进行参数精估。

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Receiving user input parameters, including the program to access the track number, etc., track output including sequential access, the average seek time and the like.

接收用户输入参数，包括程序访问的磁道号等，输出结果包括访问的磁道顺序，平均寻道时间等。

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A single Gaussian distribution is obtained to approximate the posterior distribution of state parameters based on sequential importance sampling and Monte Carlo methods.

通过基于重要性采样和蒙特卡罗模拟方法得到一高斯分布来近似未知状态变量的后验分布。

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