• 样本较大时,QIF方法表明工作相关选择等价于无估计方程的选择。

    When the sample size is great, QIF approach shows that the selection of working correlation is same to the selection of unbiased estimating equation.

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  • 相对合理的样本空间采用最小二乘回归建立模型

    Then it builds a model by partial least squares regression on the obtained sample space.

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  • 算法主动式学习、有分类增量学习结合起来,相关反馈过程中的样本学习问题进行建模

    The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.

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  • 方法采用最小二乘法(PLS)对校正进行校正,预测集中样本进行预测。

    Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets.

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  • 我们发现工资方程并不存在显著自我选择误,表现出样本职工的工作流动性还不高。

    Besides, we find no significant self-selection bias in the wage equations, which suggests poor job mobility in our samples.

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  • 母体样本之所以表达公式,是因为估计一个不是

    The reasons there are two main expressions for population and sample" is that one is biased estimator and the other is not."

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  • 讨论阶段抽样比率估计及其样本量选择问题,给出比率估计抽样均方误差的近似公式及其估计的公式。

    We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.

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  • 采用最小二乘法分别建立校正样本5个检测指标NIR定量分析模型,并验证样本进行预测。

    The NIR quantitative analysis models of 5 detection indexes in validation set was established using partial least squares(PLS) method.

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  • 采用最小二乘法分别建立校正样本5个检测指标NIR定量分析模型,并验证样本进行预测。

    The NIR quantitative analysis models of 5 detection indexes in validation set was established using partial least squares(PLS) method.

    youdao

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