• 使用固定随机效果模型整合资料

    Fixed and random effects models were used to pool the data.

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  • 定义方向随机效果模型DREM)。

    The Directional Random Effect Model (DREM) is defined.

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  • 混合相对危险度(RRs)通过随机效果模型进行估测

    Pooled relative risks (RRs) were estimated by random effects models.

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  • 进行随机效果模型统合回归分析评估试验间异质性来源

    Random-effects model meta-regression analyses were performed to assess sources of intertrial heterogeneity.

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  • 治疗效果采用相对危险度加权均数差(采用随机效应模型的95%可信区间)概括。

    Treatment effects were summarised as relative risks or weighted mean differences with 95% confidence intervals by using a random effects model.

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  • 利用分子遗传标记信息随机QTL效应模型,研究了个体遗传评定效果

    Information coming from molecular genetic markers, and a model which consists of a random QTL effect for the evaluation of animals were used.

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  • 试验验证,模型能够更加客观描述客户行为确定性随机特征具有良好分类效果

    By experimentation, this model could describe the indefinite and random character of customers' behavior impersonally and also has good segmentation effect.

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  • 传统确定性模型取得好的效果但是由于约束条件的随机模糊性需要应用不确定性模型更准确地描述和给出最优

    The traditional certain models obtain some good results, but the vendor constraints are so stochastic and fuzzy that it needs uncertain models to describe and solve the problem.

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  • 乙炔火焰燃烧过程一个随机过程,随机过程很好模拟能力马尔可夫模型(HMM)对其进行建模与识别,可以达到更好效果

    The combustion process of the oxyacetylene flame is a random one, it obtains good result using the Hidden Markov Model (HMM) which has good imitation ability on the random process.

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  • 通过地震记录子估计的理论模型试验结果表明这种混沌优化算法单一的随机优化方法具有好的实际效果应用前景。

    The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.

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  • 结果表明模型egarch - M模型杠杆随机波动模型具有较好的拟合效果

    The results indicated that in these two types of models, the EGARCH-M model and the leverage stochastic volatility model had better fitting results.

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  • 我们利用条件随机模型抽取领域实体对象,并将其应用比较识别比较关系抽取中,取得了良好实验效果

    We use CRF model to extract domain entities which are applied to identify comparative sentences and mine comparative relation with good results.

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  • 我们利用条件随机模型抽取领域实体对象,并将其应用比较识别比较关系抽取中,取得了良好实验效果

    We use CRF model to extract domain entities which are applied to identify comparative sentences and mine comparative relation with good results.

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