When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.

在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。

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Then, an improved AR(1) model is proposed. Through this new model, the response time of a DNS server can be dynamic predicted using previous response time series.

同时，基于已有的AR（1）模型，提出了一种改进型AR（1）自回归模型，该模型能够利用历次服务器响应时间构成的时间序列，采用动态预测的方法来预测服务器响应时间。

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So the early adoption speeds from early adopter markets suggests, that AR as a new mass medium would have approximately 1 Billion paying media audience by year 2020.

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