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standardized regression coefficient相关的网络例句

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与 standardized regression coefficient 相关的网络例句 [注:此内容来源于网络,仅供参考]

Based on the phase space model of the zeroth and first order approximation, a regression-autoregression model and a regression-local linear regression model are proposed, which provided new method for dam safety monitoring.

在此基础上,提出了逐步回归—自回归、逐步回归—局域线性回归等大坝观测序列相空间模型,为大坝安全监控模型的建立与预测提供了新的思路与方法。

This study conducted a secondary data analysis based on the data from 1999 Survey of Health and Living Status of the Middle Aged and the Elderly in Taiwan, provided by the Bureau of Health Promotion, Department of Health, R.O.C.. The study subjects were elders over 65 years old, and the number of valid samples was 2890. The data were analyzed with descriptive statistics, one-way ANOVA, Chi-square test(X2), Independent-Samples t-test, point biserial correlation, the Pearson product-moment correlation, logistic regression analysis, multiple regression analysis and hierarchical regression analysis.

本研究乃是使用行政院卫生署国民健康局人口与健康调查研究中心执行之「台湾地区中老年身心社会生活状况长期追踪调查系列」1999年调查资料进行次级资料分析,研究样本为年满六十五岁以上之高龄者,有效样本数为2890人,针对所得的资料,以描述统计、单因子变异数分析、卡方检定、独立样本t检定、点二系列相关、皮尔森积差相关、逻辑回归、多元回归分析及阶层回归分析等统计方法进行分析。

objective to explore environment risk factors of metabolic syndrome.methods a cross-sectional population survey with questionnaires investigation,checkup and laboratory measurement for metabolic syndrome was performed among 2026 teachers,and the logistic regression was used to analyze the risk factors of ms.results the education,milk intakes,fish and aquatic products intakes,body exercise and drinking tea were different significantly between male and female individuals.univariate unconditional logistic regression analysis showed that education,body exercises,fish and aquatic products intakes and drinking tea were benefited to the ms,but the age,sucrose intakes were the risk factors to the ms.the multivariate logistic stepwise regression analysis showed that compared with individuals with no drinking milk,or no fish and aquatic product intake,or no drinking tea,or no sucrose intakes,the milk intakes 250-1500 g/week(or=0.731,95%ci:0.542-0.987),the fish and aquatic product intake with 250-1000 g/week(or=0.720,95%ci: 0.541-0.959),or sucrose intakes 250 g/month(or=0.446,95%ci:0.255-0.779),drinking tea forepassed(or=0.635,95%ci:0.458-0.883),and current (or=2.084,95%ci:1.390-3.125) had different levels of risk on ms.conclusion the age and sucrose intakes are risk factors,and the milk intakes,aquatic products and drinking tea benefits for ms.

目的 了解中小学教师代谢综合征发病及其影响因素。方法采用横断面调查方法,随机抽取芜湖市中小学教师2 026名,进行问卷调查、体格检查和实验室检测,并运用logistic回归分析代谢综合征影响因素。结果不同性别的中小学教师在受教育程度、牛奶摄入、水产品摄入和饮茶习惯等方面的差异有统计学意义;其中受教育程度、体育锻炼、水产品摄入和饮茶是保护因素,而年龄、工作紧张程度、糖的摄入可能是代谢综合征的危险因素。logistic逐步回归分析结果提示,牛奶摄入、水产品摄入和饮茶是代谢综合征的保护因素,而年龄和糖摄入是代谢综合征的危险因素,其中牛奶摄入在250~1500 g/周(or=0.731,95% ci=0.542~0.987),水产品摄入在250~1000 g/周(or=0.720,95% ci=0.541~0.959)以及以前饮茶(or=0.446,95% ci=0.255~0.779和现在正在饮茶(or=0.635,95% ci=0.458~0.883),对代谢综合征的保护作用明显,而糖摄入250 g/月时代谢综合征的患病的危险是不食用食糖的2倍(or=2.084,95% ci=1.390~3.125)。结论年龄和糖摄入是代谢综合征患病的危险因素,而牛奶、水产品和饮茶是代谢综合征的保护因素。

The results from statistic data analysis using the statistic software SPSS15.0 for descriptive statistics, chi-square evaluation, laddered logistic regression, factors analysis, credibility analysis, variables analysis, and multiple comparison are as follows: I. An analysis of the prominently related variables with whether or not to receive cervical smear screen of tendency factors, enabling factors and needs factors by using the logistic regression model was performed.: 6 variables of tendency factors with predictive value as to whether a woman receive cervical smear screen or not include age, marital status, educational level, family structure, religion, and the knowledge of free smear examination offered by mandatory citizen health insurance; 4 variables with enabling factors with predictive value include average monthly income, district, whether receiving telephone or letter notices in the past year, and the degree of convenience of the examination location. One variable of needs factors with predictive value: is the suitability of the examination time notified. The accuracy rate of laddered logistic regression model built by this research was 74.1%.

利用统计软体SPSS15.0进行描述性统计、卡方检定、阶层式逻辑斯回归、因素分析、信度分析、变异数分析、多重比较等统计方法分析,根据统计资料分析结果:经卡方检定后,将倾向、能用、需要因素中具有显著相关变项与是否接受抹片检查,放入逻辑斯回归预测模型中,本研究结果发现:倾向因素中的六个变项:年龄、婚姻状况、教育程度、家庭结构、宗教信仰、是否知道健保提供免费抹片检查对受检与否具有预测力;能用因素中的四个变项:平均月收入、地区别、过去一年内是否接到电话或信函通知、收到通知的受检地点是否方便对受检与否具有预测力;需要因素中的一个变项:收到通知的受检时间是否合适对受检与否具有预测力;本研究所建立的阶层逻辑斯回归模型的整体预测正确率为74.1﹪。

With nonlinear regression analysis on each factor and multi- variates l inear regression on collectivity, this paper gives a mixed regression model.

通过先行建立每个影响因子的非线性回归。型,然后作总体线性回归。,首次给出了用混合回归模型预报赤潮的方法。

4Some job stressors can predict job burnout, stresses form ecomocial-socail treatment, workload and school management entered emotional exhaustion regression equation, stresses form student factors entered depersonalization regression equation, stresses from workload and examination entered reduced personal accomplishment regression equation. It is clearly that stresses from ecomocial-socail treatment and school management have positive influence to turnover intention; also emotional exhaustion and reduced personal accomplishment have positive influence to turnover intention.

部分压力源对职业倦怠的三个维度有预测作用,来自经济社会待遇、工作负荷、学校管理的压力进入情感衰竭的回归方程,学生因素进入去个性化的回归方程,学校管理的压力和考试压力进入个人成就感降低的回归方程;学校管理、经济社会待遇的压力对离职倾向有显著的预测作用;情感衰竭和成就感降低对离职倾向有显著的预测作用。

And the absolute value of all the count of control capability is used to analyze the degree of earnings management, which is the explained variable. The above 3 study hypothesises are validated by multi-linearity-regression-analysis method using the statistic analyses software SPSS 15.0. On the regression analyses, there are two times of multi-linearity-regression.

然后,。。。更多采用修正的横截面Jones模型来度量关联交易对盈余管理的影响,以操纵性应计数的绝对值来度量盈余管理的程度,即为被解释变量,采用多元线性回归模型来验证本文提出的3个研究假设,并借助SPSS15.0统计软件。

Through component score coefficient and percent of variance, the weight of evaluation indexes is gained. The comprehensive index of water quality evaluation can be obtained by the coefficient of weights and standardized values of evaluation indexes, and the samples of water quality can be classified and sorted.

该模型由因子得分系数和方差贡献率确定指标权重,然后以指标权重与各水样相应指标的标准化值进行加权平均得到水质评价的综合指标值,进而对评价样本进行排序和分级。

In the fifth chapter, we propose the conditional generalized ridge-type estimator of regression coefficient in restricted linear regression model, and prove that it is superior to the restricted best linear unbiased estimator in terms of mean squares error and mean squares error matrix, we also give the choice of parameters matrix K.

第五章给出了约束线性回归模型中回归系数的条件广义岭估计,讨论了它的优良性,证明了它在均方误差及均方误差矩阵下都优于约束最小二乘估计,并给出了参数矩阵K的选择。

For polychlorinated biphenyl, QSRR model was built by principal component regression. A regression model with correlation coefficient of 0.9999 and standard deviation of 2.4636 was obtained.

分别对同一结构特征的分子体系和不同结构特征的分子体系进行了程序升温保留指数与其结构之间的关系研究,并建立相应预测模型。

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