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regression effect相关的网络例句

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By synthetically analysizing the physical and chemical properties of all components and particle size, the content of F2641 in the JOB-iC is determined by gravimetric analysis after F2641 is seperated from HMX,TATB and PNP through ? alkali reflux. Determination conditions is set as follows the sample is boilingly refluxed for six hour in a constant temperature bath after adding lOOm! 8.0 ?? 0.1% NaOH. The solvent DMF saturated by TATB is used for extracting HMX,F21 and PNP from the sample and TATB is seperated by crucible filter G4. The mass precent of TATB is determined by extraction fractionation. The mass percent of PNP is measured by multiwavlength linear regression ultraviolet spectrophotometry. The testing conditions are set as follows:multiwavlength constitution: X=267nxn, 275nm, 283nm, 29mm, 299nm,the application scope of the Lambert-Beer law: the concentration of PNP is O.005?0.O25mgIml, the concentration of HMX is 0.060.3Omg/ml,absorption coefficents of PNP and HMX are solved by the slope of linear regression curve of absorbency- concentration of standard solution of PNP and HMIX for measuring wavelengthes,on the basis of the Lanibert-Beer law and absorbancy additivity principle, the slope of linear regression curve of A/E(1) and E1 of PNP and HMX solution is regarded as the concentration of PNP in the solution.

根据传爆药中各组分的物理、化学性质及主体炸药的粒度大小,进行综合分析,确定了采用碱回流重量法测定JOB-1C 中F_(2641)的含量,测定条件:加入100ml浓度为8.0±0.1%的氢氧化钠,在恒温水浴中煮沸回流6h;采用溶剂萃取法测定JOB-1C中TATB的含量,选择TATB饱和的二甲基甲酰胺为萃取溶剂,用G4坩埚式过虑器进行萃取分离;采用多波长线性回归紫外分光光度法测定JOB-1C中PNP的含量,通过实验确定了多波长组合:λ=267nm,275nm,283nm,291nm,299nm;朗波—比耳定律的适用范围为PNP浓度:0.005~0.025mg/ml,HMX浓度:0.06~0.30mg/ml;在测定波长下,对PNP、HMX标准溶液的吸光度—浓度进行线性回归,由回归曲线的斜率得出PNP、HMX的吸收系数;根据朗波—比耳定律和吸光度加和性原理,在测定波长下,对PNP、HMX 两组分混合溶液A_i/E_HMX(i与E_PNP(i/E_HMX(i进行线性回归,回归曲线的斜率即为混合溶液中PNP的浓度。

Results The factors into the multiple regression model of physical fatigue include character and emotion.The factors into the multiple regression model of mental fatigue include obsession.The factors into the multiple regression model of total fatigue include character and emotion.

结果 进入躯体疲劳多元逐步回归模型的因素有性格和情绪,进入脑力疲劳多元逐步回归模型的因素有强迫症,进入疲劳总分多元逐步回归模型的因素有情绪和性格。

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。

The results showed that: with the regression analysis of Betula platyphylla, Pinus koraiensis, Abies nephrolepis, Picea koyamai var koraiensis, and Betula costata, there was a significant negative correlation between neighborhood interference index and the growth (0.40~0.89) and the correlation extent depended on the neighborhood influence zone and slope. The neighborhood influence zone corresponding to maximal regression coefficient R~2 was the neighborhood influence radius. Based on the linear subsection regression between neighborhood interference index and influence zone of five species, the neighborhood interference index increased with the increasing zone and there was a previous increasing trend in a certain scope, while the increasing trend slackened beyond the zone. The neighborhood influence zone corresponding to transition point was the neighborhood influence radius. The neighborhood interference index positively correlated with the neighborhood influence zone and the range of R~2 was 0.40-0.64. With the analysis of tree cores of Juglans mandshurica, Fraxinus mandshurica at middle and lower slope in a plot which was fostered in 1995, the distance which the growth release farthest neighborhood and object stub was judged, thus the neighborhood interference radius was inferred. According to the studies, we found that the neighborhood interference radius was different among different trees, even if the neighborhood interference radius of the identical tree species also had the difference at different slopes.

结果表明:通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与生长量回归分析发现,邻体干扰指数与生长量呈显著负相关(0.40~0.89),相关程度因邻体影响范围和坡位而异,R~2达到最大值所对应的影响范围即为邻体影响半径;通过对白桦、红松、冷杉、红皮云杉和枫桦树种进行邻体干扰指数与影响范围的线性分段拟合,邻体干扰指数随影响范围的增加而增加,其在一定的范围内上升较快,而超出该范围后上升的幅度变慢,变化的转折点所对应的影n向范围可以判定为邻体影响半径,线性回归显著(0.40~0.64);通过对1995a抚育的胡桃楸、水曲柳样树进行研究,分析邻体树种的中坡位和下坡位的生长锥芯,判断产生生长释放的最远邻木与基株树桩所对应的距离,推断邻体影响半径;根据研究发现,邻体影响半径因树种不同有一定的差异,即使同一树种的邻体影响半径在不同坡位也有一定的差异。

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。

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相关中文对照歌词
Serious Effect
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Continuously improve the production mechanism, to provide customers with better quality products and services.

不断的完善生产机制,给客户提供更优质的产品及服务。

B:Yes, he was the very prize-winner in the court tennis ten years ago?

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