REGRESSION MODELS 中文是什么意思

Seasonal regression models.

季节性自回归模型.

Users can also perform oneand two-variable analysis,and display six different regression models.

可执行一元变量和二元变量分析，显示六个不同的回归模型。

The simplest linear regression models can be written as.

最简单的线性回归模型可以用如下公式表示：.

Regression models describe the relationship between a response(output) variable and one or more predictor(input) variables.

回归模型描述响应（输出）变量与一个或多个预测（输入）变量之间的关系。

Overall Assessment of Regression Models.

模型回归的整体评价。

So-called regression models and variable selection methods are used to do this.

使用所谓的回归模型和变量选择方法来实现这一点。

Then we have to fit our data to two different linear regression models- first for Flash, and the other for Arrow.

然后我们需要把数据拟合为两个不同的线性回归模型--先是闪电侠，然后是绿箭侠。

Linear regression models are estimated separately for all of the five outcome variables:.

分别估计所有5个结果变量的线性回归模型是：.

In four years of my career into analytics I have built more than 80% of classification models andjust 15-20% regression models.

进入数据分析领域的四年来，我构建的模型的80%多都是分类模型，而回归模型仅占15-20%。

We will try to build regression models that predict the hourly electrical energy output of a power plant.

我们将要构建预测电厂每小时电能输出的回归模型。

We also investigated trends in mean BMI during the 10-year period andthe role of treatment in these trends using multivariable linear regression models.

我们还使用多变量线性回归模型调查了在此10年期间BMI均值的趋势以及治疗在这些趋势中的作用。

Regression models can be used to predict the number of days before a customer's next interaction with an application or service.

回归模型可以用于预测客户与应用程序或服务下次发生互动关系之前的天数。

The researchers used Cox proportional hazards regression models to estimate how NSAID use was associated with the risk of lung cancer death.

研究人员使用Cox比例风险回归模型来估计NSAID与肺癌死亡的相关风险。

Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist's toolkit.

回归模型，线性模型的一个子集，是一个数据科学家的工具包中最重要的统计分析工具。

Incidence rate, Kaplan-Meier, and multivariable Cox regression models were used to assess differences in time to event(KSHV seroconversion) between groups.

发生率、Kaplan-Meier和多变量Cox回归模型用于评估组间发生事件（KSHV血清学转换）的时间差异。

I used the randomForest() function from the R package"randomForest", which uses the non-parametricBreiman random forest algorithm to produce regression models.

我使用R语言“随机森林包”中的Randomforest()函数，该函数采用非参数Breiman随机森林算法来产生回归模型。

Multiple linear regression models indicated that most syndrome variations(up to 86%) can be explained by counts of respiratory pathogens.

多元线性回归模型显示，症状变化的大多数原因（达86％）可由呼吸道病原的数量变化来解释。

For the short term,classification models have more applications, although regression models[predicting exchange rate levels and quantities] are equally relevant for both.

对于短线来说，分类模型有更多应用，尽管回归模型（预测汇率水平和数量）对于两者均有相关性。

Fourth, regression models and ANOVA models share many of the same diagnostic procedures(procedures used to examine the underlying assumptions).

第四，回归模型和方差分析模型共享许多相同的诊断程序（用于检查潜在假设的程序）。

The most popular feature requirements for advanced andpredictive analytics applications include regression models, textbook statistical functions, and hierarchical clustering.

先进的预测性分析应用中最受欢迎的功能需求包括回归模型、Textbook统计函数和层次聚类(HierarchicalClustering)。

When data is non-linear, classical regression models fail to generalize on the data, whereas tree based models generally perform better.

当数据是非线性的时，经典回归模型泛化能力不强，而基于树的模型通常表现更好。

In order to reduce spurious correlations when analyzing observational data,researchers usually include several variables in their regression models in addition to the variable of primary interest.

为了在分析观测数据时减少伪相关，除最感兴趣的变量之外,通常研究人员还会在他们的回归模型里包括一些额外变量。

Note that discriminative regression models often only output a single predicted value, instead of a distribution over all the real values.

需要注意的是判别式回归模型输出的是一个单独的预测值，而不是一个在所有实数上的分布。

We used Cox regression models to obtain adjusted relative risks that compared categories of smokers or ex-smokers with otherwise similar never-smokers.

我们采用Cox回归模型获得了与其他方面类似的不吸烟者相比，吸烟者或戒烟者的校正相对风险。

MANCOVA also has some use in regression models where its main function is to fit the regressions in both categorical and interval independents.

MANCOVA在回归模型中也有一些用途，其主要功能是适应分类和区间独立的回归。

Multivariate regression models were used to estimate health care use and costs and to make subgroup comparisons according to frequency of health club visits.

使用了多变量回归模型，以估计医疗服务的使用及费用，并根据前往健康俱乐部的频率进行亚组比较。

Johnston describes multivariate regression models as“fitting the regression plane” a technical extension of the two-variable model that fits a line.

Johnston将多元回归模型描述为“拟合回归面”，而这只是对拟合直线的双变量模型的技术扩展。

In multivariable regression models, compared with men, women had significantly lower risk of ESRD, 50% eGFR decline, progression to CKD stage 5, and death.

在多变量回归模型中，与男性相比，女性患ESRD、eGFR下降50%、进展为CKD5期和死亡的风险显著降低。

For example, econometric regression models suit the analysis of firm level impacts of ICT and case studies are better suited to the evaluation of small scale ICT projects;

例如，计量经济学回归模型适合分析信通技术在公司层面的影响，而案例研究则更适合评估小规模的信通技术项目；.

Examples include time-series regression models for predicting airline traffic volume or predicting fuel efficiency based on a linear regression model of engine speed versus load.

示例包括用于预测航空交通量的时间序列回归模型，或用于预测燃料效率的发动机速度与负载线性回归模型。