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variance相关的网络例句

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与 variance 相关的网络例句 [注:此内容来源于网络,仅供参考]

Severe multicollinearity means the variance of the estimated parameter will be very large.

严重的多重共线性意味着被估计参数的方差将非常大。

But it is worth remembering that when these variables are available, they can be included in a model to reduce the error variance without inducing multicollinearity.

作为一个原则需要记住:总可以将此类变量包含进模型,如果他们存在。

The sampling of complicated materials were investigated. The relationship between the composite sampling variance and the number of increments was studied. The quantitative equation for estimating the composite sampling errors directly from the physical and chemical parameters of the population with multinomial distribution theory was presented. Monte Carlo simulation technique was employed to verify the above theories.

对于复杂物质的取样,研究了分层性物质的组合取样误差与份样数目之间的关系;采用多项分布理论,提出了组合取样误差公式,建立了组合取样误差与被研究总体的理化参数(如组分含量、质量分数等)之间的定量关系,通过Monte Carlo模拟技术对此进行了验证。

All the patients were diagnosed by the standards introduced by the WHO committee in 1985.Outcome were measured by using t text,analysis of variance and coefficient of multiple correlation.

采用双能X线骨密度仪,测定48例NIDDM患者及35例30~35岁正常人腰椎正侧位、髋部及全身骨密度。

The correlation between BMD and age, medical history, menopause duration, BMI, FBG, HbAlc, was analysed student's t test, analysis of variance and coefficient of multiple correlation were used. Results\ BMD decreased in all 80 patients with type 2 DM, of whom 36 (45%) were diagnosed as having OP.

本研究对 80例糖尿病患者骨密度进行了检测,并对其与年龄、病程、体重指数、绝经年限、空腹血糖、糖基化血红蛋白及部分钙磷调节激素的相关性进行了分析,结果报道如下。

Data were analyzed using variance and multiple regression analysis.

数据分析采用方差分析、多元回归分析。

Analysis: Scores were compared using analysis of variance and multiple regression.

分析:使用方差分析和多重回归对结果进行对比。

Statistics analytical methods adopted mainly are multiple regression analysis, logistic regression analysis, and analysis of variance.

所采用的统计分析方法主要为多元回归分析、logistic回归分析、方差分析。

Multivariate analysis of variance, covariance, and regression.

检验和置信区间,多元方差分析,协方差和回归。

The methods of data analysis include descriptive statistic, reliability analysis, factor analysis, multivariate analysis of variance, and regression analysis.

资料分析方法包括叙述性统计、信度分析、因素分析、多变量变异数分析与回归分析。

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