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regression analysis相关的网络例句

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The two-parameter negative exponential form could bump regression analysis degree of fitting up Least square curvilinear regression method was considered as the most conformable regression-type analysis.

回归分析的方法使用最小二乘法曲线回归方法。

The main content of the study includes: the policy variables are classified into two types, which are continuous policy variable and discrete policy variable, and the two variable is analyzed respectively; as to the continuous policy variable, use reasonable weighting to synthesize comprehensive policy indicator to reflect the comprehensiveness of each main policy indicator; undertake regression analysis for the comprehensive policy indicator, economic and stock market variable and get the effect of all kinds of comprehensive policy indictor variables on the economy and stock market; undertake regression analysis for data on the economic indicator and the data on the stock market and get the relationship between the economy and the stock market; use event research method to analyze its effect on the stock market and get some corresponding conclusions; structure the differential or difference equation groups on the interactive relationship among the variable economy, stock market and policy and do the difference operation and constitute simultaneous equation with the original main variables one after another; use quantitative regression method and solve the coefficient of the simultaneous equation to predict the operating tendency.

本研究主要内容包括:将政策变量划分为连续性政策变量和离散政策变量两个类型,并分别进行分析;对于连续性政策变量,采取合理的权重来合成政策综合指标,反映各主要政策指标的综合力度大小;将各政策综合指标与经济、股市变量进行回归分析,获得各类政策综合指标变量对经济、股市影响程度的大小;将经济指标数据与股市数据进行回归分析,获得经济与股市之间关系的大小;采取事件研究方法来分析其对股市的影响程度;构建关于经济、股市与政策各主要变量之间互动关系的微分或差分方程组,进行差分运算,并以此与原来各主要变量组成联立方程;运用计量回归方法,求出联立方程系数用于预测。

The research takes all members in 104 call center of Chunghwa Telecom Northern Taiwan Business Group, 228 people in total as survey targets of the questionnaire. The methodology of questionnaire is adopted as the collected data are statistically analyzed through SPSS for windows. The applied statistics methods include: descriptive statistics, reliability analysis, T-test analysis, One-Way ANOVA, factor analysis, Pearson's product moment correlation coefficient, regression analysis, etc.

本研究以中华电信北区104查号委外发包全体员工228名为问卷调查对象,采问卷调查,并将所搜集的资料,透过SPSS for Windows 套装软体进行统计分析,使用的统计分析方法,包括:叙述性统计分析法、信度分析、T检定(T-test Analysis)与单因子变异数分析(One –Way ANOVA),因素分析、皮尔森积差相关分析及回归分析等方法。

The questionnaire method and the interview menthod were used to gain the tourist data, the quota sampling method was used in sampling survey, the principal component analysis method was used to measure the various variables, the statistical methods such as linear regression analysis, multivariate linear regression analysis, single factor variance analysis and logistic regression analysis were used to analyzes the relationship between various variables.

具体来说,在获取游客数据时采用了问卷调查法和访谈法,在抽样调查时采用了配额抽样方法;对各变量进行测度时使用了主成分分析法;在分析各变量之间相互关系时采用一元线性回归分析、多元线性回归分析、单因素方差分析及Logistic回归分析等统计方法。

Statistic; the display and measure of section array; the display and analysis of time array; the estimation of parameters; hypothesis testing; simple regression analysis and multi-regression analysis; and word processing the results of analysis.

包括:SPSS和EXCEL的概述、统计数据的输入、统计数据的整理、横断面数列的展示和测量、时间数列的展示和解析、参数估计、假设检验、简单回归分析和多元回归分析、统计分析结果的文字处理和文字编辑。

Descriptive statistics, factor analysis, analysis of variation, simple linear regression, and multiple regression analysis are used to conduct analysis.

以描述性统计、因数分析、变异数分析、简单回归与复回归分析等统计方法进行分析。

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。

Based on cloud seeding data on April 5,2002 in Henan province,cloud seeding effects were evaluated by six methods,i.e.double contrast method of regional rainfall tendency control,regression analysis method of regional tendency correlation,multiple regression analysis method of regional tendency covariant,floating control historical regression method,cluster-analysis-based floating control historical regression method using rainfall as a covariant and CA-FCM using rainfall and atmospheric perceivable water as covariants.

根据2002年4月5日河南省人工催化增雨作业数据,分别采用作业区域趋势对比双比分析评估方案、区域趋势相关回归评估方案、区域趋势协变量多元回归评估方案、FCM评估方案、以降水量为协变量的CA-FCM评估方案和以降水量与整层大气可降水量为协变量的CA-FCM评估方案进行效果评估。

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