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standardized regression coefficient相关的网络例句

查询词典 standardized regression coefficient

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

The course covers the following topics: overview of quantitative research designs including survey research, experimental and quasi-experimental research, and correlational research; measuring of reliability and validity; sampling, hypothesis testing and statistical significance, correlational analysis, tests of mean differences, tests of frequencies, analysis of variance, linear regression, and multiple regression.

课程主要容包括问卷调查法,实验研究法,相关研究法,抽样方法,测验信度与效度,X2考验,相关分析,t考验,变异数分析,单回归,多元回归。

The analytic method of principle component regression is applied,and compared with the results of multi stepwise regression.

结果 :消除了多元回归分析中由于共线性产生的参数估值不稳定性及结果中不好解释的现象。

Based on leaf area measurement experiments on six main cultivars Strawberry in southern of Jiangsu province, using DPS data processing system to analyze the relationship between "leaf length - leaf width - leaf area", and getting to regression equations of these six kinds of strawberry on "leaf length × leaf width" and on leaf area; and setting up a common regression equation through combination of data.

本文基于对江苏南部6个草莓主栽品种叶面积的测量试验,用DPS数据处理系统对其"叶长-叶宽-叶面积"之间的回归关系进行分析,得出这6个草莓品种的叶长×叶宽与叶面积回归方程;并经过数据合并建立了一个通用的回归方程。

Based on leaf area measurement experiments on six main cultivars Strawberry in southern of Jiangsu province, using DPS data processing system to analyze the relationship between "leaf length-leaf width-leaf area", and getting to regression equations of these six kinds of strawberry on "leaf length × leaf width" and on leaf area; and setting up a common regression equation through combination of data.

基于对江苏南部6个草莓主栽品种叶面积的测量试验,用DPS数据处理系统对其"叶长-叶宽-叶面积"之间的回归关系进行分析,得出这6个草莓品种的叶长×叶宽与叶面积回归方程;并经过数据合并建立了一个通用的回归方程。

More specifically, a Binary Logstic Regression Model was used to analyze factor affecting whether farmers transferred forestland and stumpage or not, and a Multinomial Linear Regression Model was applied to analyze factors affecting the quantities of forest land and stumpage transferred by farmers.

其中,二分类Logistic回归模型用于分析农户是否转出林地林木的影响因素;多元线性回归分析用于确定,在转出林地林木的农户群体中,上述因素的影响是否具有差异。

This text constructs linear regression model of Chinese total fertility rate through regression analysis on 109 countries' 20 statistical data,such as per GDP,women literate rate,women mean lifetime.

针对3O多年来中国生育政策的人口效果、社会经济效果的评估,在2O世纪9O年代初便有学者予以关注(吴忠观、肖立见,1994),到2O世纪末21世纪初有更多的学者对生育政策的效果进行了研究(李建民、王金营,2000;陈胜利,2001;杨魁孚等,2000),政府有关部门也对此十分重视。

No significant results are found on the interaction of language and format to reading comprehension and eye movement indexes.2. For one-, two- and three-column texts, no significant differences are found on reading comprehension indexes but among such indexes as saccade length, number of within-line and multiple-line regression. Compared with two- and three-column text, one-column text is the best. Moreover, the number of fixation, fixation frequency, fixation duration and total regression numbers of one-column text are also better.

语种和开本在阅读理解指标与眼动指标上的交互效应均不显著。2一栏、二栏、三栏设计材料在阅读理解指标上没有显著差异,但在眼跳距离、行内与行间回视次数上有显著差异,表现为一栏最优,且一栏设计材料的注视次数、注视频率、注视点持续时间和总回视次数等眼动指标都优于二栏、三栏材料。

No significant differences appeared between two-column texts and one-column texts on reading comprehension index, but on such indexes as total regression and within-line regression. The number of fixation, fixation frequency and fixation duration of two-column texts are better than one-column texts.

二栏设计与一栏设计材料在阅读理解指标上没有显著差异,但在总回视和行内回视指标上显著占优,此外,二栏设计材料的注视次数、注视频率、注视点持续时间等指标都优于一栏设计材料。

objective to study the correlation among psychosomatic health factors,depression,anxiety and sleep status in college students,to analyze influence factors in sleep status.methods with questionnaire opened in-vestigation,200college students were evaluated using cornell medical index,self-rating depression,self-rating anxiety scaleand pittsburgh sleep quality index.stepwise regression analysis was used.re-sults total score of sds was35.55±7.8,and sas was0.48±0.9.each score of cmi was higher than normal range,the highest was digestion system,next was respiration system,then,fatigue,eyes and ears,anxiety,sensitivity,tension,maladjustment in turn.total average score of psqi was6.32±3.6,ordinary sleep were115cases(57.5%),good and bad sleep were42(21%)and43(21.5%)cases respectively.influence factors in total score of psqi were sas,cmi,respiration system,anxiety,past healthy,digestion system,fatigue,sensitivity,sds and malad-justment in turn,using stepwise regression analysis,total score of psqi as dependent variable,each factor score of cmi,total score of sds and sas as independent variables.conclusion problems of psychosomatic health,anxiety and depression could both lead to sleep disorder.

目的 研究在校大学生心身健康因素及抑郁焦虑等与睡眠状况的相关性,并对影响睡眠状况的有关因素进行分析。方法采用问卷式的开放性研究,对在校的200名大学生进行康奈尔心身健康问卷、自评抑郁量表、焦虑自评量表和匹兹堡睡眠质量量表的测定,采用逐步回归分析方法。结果 sds总分为35.55±7.8、sas总分为0.48±0.9,cmi评分:消化系统最为严重评分为2.52,其次为呼吸系统、疲劳感、眼和耳、焦虑、敏感、紧张、不适应等,评分均高于正常常模。psqi总均分为6.32±3.6,一般睡眠有115例占57.5%,睡眠质量较好42例占21.0%,睡眠质量较差43例占21.5%。评估对睡眠状况的影响程度,以psqi总分为因变量,选择cmi各因子分和sds、sas总分作为自变量,进行多因素逐步回归分析,进入方程的因素依据标准化偏回归系数,影响psqi总分的因素依次为sas总分、cmi总分、呼吸系统、焦虑、既往健康、消化系统、疲劳感、敏感、sds总分、不适应(f=226.8;p.01;r=0.73)。结论心身健康问题和焦虑抑郁可导致睡眠障碍。

But sometimes we find the data that is combined by true explained variable and measurement error when we constructed back to regression analysis. We call this kind of regression model as measurement error model.

但是在建构回归分析时,有时会发现所得到的资料是由真实解释变数和测量误差所结合而成的观测值,像这种具测量误差的回归模式,我们称为测量误差模式〈measurement error model〉。

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This paper designs the communication system of radio telescope FAST.

针对500m口径球面射电望远镜FAST分布式控制系统的特点完成了其通信系统的设计。

Political sheep's step-by-step a large number of fossils unearthed in the county soil Ma Ali after rural village in the middle of sallow pelitic siltstone.

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If you start very rapidly with high dose you will have flatulence just as if you were to take a high fiber diet but if you start very slowly and low dose and titrate very slowly then you will avoid most of the dose symptoms.

如果您以高剂量快速开始,您会有如同摄入高纤维饮食似的肠胃气胀;但是,如果您以低剂量缓慢开始,并且缓慢滴定,您将可避免绝大多数剂量依赖性症状。