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中文摘要：
三个功能的模特儿，多项式，光谱分析，和修改 AR 当模特儿，基于从双向卫星时间和频率转移导出的数据顺序在恰当、预言的钟偏差被学习并且比较。柔韧的当量被使用，它控制无关的观察的重要影响。一些结论证明柔韧的评价的预言精确比 LS 的好。从弄平的观察计算的预言精确比从采样观察计算了高。作为在钟偏差顺序的明显的时期变化的一个计数，多项式模型的预言的价值是难以置信的。光谱分析模型的预言精确是很低的，但是主要时期能是坚定的。6 小时的推测间隔的预言 RMS 是 1 ns 左右，当修改 AR 模型被使用时。
英文摘要：
Three functional models, polynomial, spectral analysis, and modified AR model, are studied and compared in fitting and predicting clock deviation based on the data sequence derived from two-way satellite time and frequency transfer. A robust equivalent weight is applied, which controls the significant influence of outlying observations. Some conclusions show that the prediction precision of robust estimation is better than that of LS. The prediction precision calculated from smoothed observations is higher than that calculated from sampling observations. As a count of the obvious period variations in the clock deviation sequence, the predicted values of polynomial model are implausible. The prediction precision of spectral analysis model is very low, but the principal periods can be determined. The prediction RMS of 6-hour extrapolation interval is Ins or so, when modified AR model is used.
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