1、

And then introduced three single forecasting methods used in railway passenger volume prediction: multiple regression analysis prediction, time series prediction, support vector machine regression analysis.

接着介绍了应用于铁路客运量预测的三种单一预测方法:多元线性回归分析预测法、时间序列分析预测法以及支持向量机回归分析预测法。

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2、

Used for statistical t test, single factor variance analysis and multiple regression analysis.

统计方法采用t检验、单因素方差分析及多元回归分析。

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3、

When multivariate logistic regression analysis was applied, only deep-seated AVM and a single draining vein were associated with presentation of hemorrhage. Small size, deep venous drainage and intranidal aneurysm did not independently correlate with hemorrhagic presentation.

进一步多因素logistic回归分析结果显示,只有深部脑AVM和单一静脉引流与脑AVM出血相关,小型脑AVM、深静脉引流和畸形血管团内动脉瘤与脑AVM出血无独立相关性。

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4、

Then Logistic regression analysis of many factors was conducted on basis of Logistic analysis of single factor.

然后在单因素Logistic分析的基础上,再进行多因素条件Logistic回归分析,结果显示糖尿病组在家族史、高血压、食用油及脂肪偏多等3个因素明显高于对照组。

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6、

Stepwise regression analysis revealed that the main factors contributing to efficacy of risperidone were paranoid type, single or combined with other antipsychotic drugs, onset age and premorbid character.

逐步回归分析揭示,影响利培酮治疗精神分裂症效果的主要因素为:偏执型、用药方式、发病年龄和病前性格;

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7、

Results of single variable analysis and multivariate logistic regression analysis revealed that insufficient training, injury history of lower leg and shoe unfit were the main risk factors of OUI.

经单因素和Logistic多元回归分析发现,有下肢损伤史、训练中着鞋不适、入伍前缺乏体育锻炼是OUI的危险因素。

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8、

a forecasting model of productivity contribution in single zone of multiple-zone production based on support vector regression

一种基于支持向量回归的多层原油分层产能贡献预测模型

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9、

single variable and multivariate conditional logistic regression analysis were used to analyze risk factors. the confounding factors were excluded, and the risk factors were found by using logic analysis.

应用1:1条件logistic回归进行单因素和多因素分析,排除混杂因素、逻辑分析和病因推断,寻找可能的危险因素。

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10、

empirical results show that the model can effectively remove redundant information, and compared to the single neural network model and logistic regression model, its forecast accuracy has increased with shorten training time and higher efficiency.

结果表明:组合预测模型能有效删除冗余信息;与单一的神经网络模型、Logistic回归模型相比,模型预测精度有所提高,并减少了网络的运算时间,提高了神经网络模型的预测效率。

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11、

The metallurgical properties ( Viscosity, free running temperature etc.) of medium-content titania ( TiO 25%~ 15%) bearing blast furnace slag were systematically investigated by means of regression design of mixed burden and single component design.

采用了混料回归设计和单成分设计方法,系统地研究了中钛型高炉渣(TiO25%~15%)的粘度、熔化性温度等方面的冶金性能。

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12、

Judgment matrix is applied to get the proportion of single quality characteristics in integrated quality characteristic, and the relationship between each quality characteristics and each controllable factor is set up by linear regression.

首先以判断矩阵确定各单质量特性在综合质量特性中的权重,利用统计线性回归得到单个质量特性满意值及综合质量满意值与可控制因素的关系式。

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13、

Methods QOL of 260 patients with CHB and 260 healthy controls were evaluated by Mos SF 36, and QLI scores, single and multiple stepwise regression analysis were made to assess the factors affecting QLI.

方法采用SF36量表,对260例慢性乙型肝炎患者和260例正常对照进行QOL测量与评价,并对QOL的影响因素进行单因素分析和多因素逐步回归分析。

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