查询词典 statistical analysis

Quantile regression models are important statistical models, which are more powerful than least square regression and least absolute deviation regression in statistical analysis, and can supply much more attractive inference results for the datasets.

分位点回归模型是一种重要的统计模型，它比最小二乘回归和LAD回归具有更强的统计分析能力，能给数据集提供更加丰富的统计推断结果。

This article mainly uses statistical analysis, investigating analysis, contrasting analysis, and industry and product structure analysis.

本文主要的研究方法，采用统计分析，调查分析，对比分析，行业及产品结构分析。

Factor analysis is a very popular multivariate statistical analysis method. It can summarize some unobservable factors from the test results which can summarize most of the observed data. The factor analysis suggest the DP, furfuran and CO_X can be divided into insulation aging factor, while the hydrocarbon gas and hydrogen were divided into another group which can be called insulation fault factor. The result of the factor analysis

因子分析作为一种常用的多元统计分析方法，可从众多可观测变量中，概括和推论出少数不可观测的潜变量，用最少的因子去概括和解释大量的观测事实；本文将试验过程中90℃下油中溶解气体、绝缘聚合度、糠醛等参量进行因子分析，结果表明：绝缘聚合度、糠醛、CO_x被分为一类，代表绝缘老化因子：烃类、氢气、被分为一类，代表绝缘故障因子；因子分析结果与现场经验一致，相互印证，具有重要意义。

In terms of data treatment, SPSS for Windows was used to conduct statistical analysis by methods of item analysis, factor analysis, reliability analysis, descriptive statistics, t-test, one-way multivariate analysis of variance, and one-way analysis of variance. Each research result item was discussed, and the results of this study are summarized below

在资料处理方面，以SPSS for windows进行项目分析、因素分析、信度分析、描述统计、t考验、单因子多变项变异数分析与单因子变异数分析等方法加以统计分析，逐一讨论各项研究结果，兹将本研究的结果归纳如下

There are several methods can be applied in symptom complex study: Principal component analysis, Factor analysis, Cluster analysis, Regression analysis, and Correspondence analysis, etc. In this article, the author introduces the application of multivariate statistical analysis in TCM symptom complex normalization research in the following four aspects: establishing the basic symptom, filtering optimization index, settling the weight of the index, and setting up the mathematical model.

本文从确立基本证型、筛选优化指标、确立优化指标的权重、建立证候数学模型等4个环节上介绍了多元统计分析在中医证候诊断标准领域的应用，并指出：多元统计分析是研究多因素和多指标问题的统计分析方法，证候诊断学正是研究疾病的多种证型与多种症状之间的关系问题，因此，可以将多元统计分析应用于中医证候的规范化研究中。

Objectives: Exploring appropriate model on statistical analysis for genetic loci of complex human disease and providing the sensitive methods of statistical analysis for study of the nosogenetic loci. The nosogenetic loci about type 2 diabetes mellitus and bipolar disorders were studied in order to provide more scientific bases for the prevention and cure of diseases.

目的：探索人类复杂疾病相关基因位点研究统计分析的合适模型，为复杂疾病致病基因位点的探查提供较为敏感的统计分析方法；探讨线粒体基因突变2型糖尿病与双相情感性精神障碍的易感基因位点，为疾病的防治提供更为科学的依据。

The use of multiple regression statistical analysis of past resettlement of academic achievement, proposed to the examination results and school organizational placement tests prorating method of calculation for the future provide the basis for placement of academic computing, bring it closer to the real student academic level; make full use of students in school to participate in the history of the various test results data, follow-up analysis of our students grew up, give full play to our school-based management advantages of large classes in small classes, guiding students in active academic achievement of self-attribution, searching for their own learning methods to help students develop good study of psychological quality; use RANK function analysis of the end of the academic results of students balanced, using radar chart, combined with the median shows the median and the Analysis of 100 students in the end of academic performance, on the one hand to guide students to focus on their overall academic development, and on the other hand, for students in high-rise 2 1 Division of Arts and to provide selected on the basis; to provide easy-to-EXCEL template to enable teachers to gather in peacetime operations or unit tests in the diagnosis of academic information, so that the teaching timely and detailed feedback loops are conducive to Teacher students to keep abreast of the situation, according to the actual situation of students to adjust teaching objectives and teaching strategies in order to better complete the teaching tasks.

利用多元回归统计分析以往的安置性学业成绩，提出以中考成绩与学校组织分班考试按比例折算的计算方法，为今后的安置性学业成绩计算提供依据，使其更接近学生真实的学业水平；充分利用学生在校参加各次测试的历史成绩数据，跟踪分析学生的学业成长历程，充分发挥我校大班小班化管理模式优势，指导学生对自我学业成就进行积极归因，寻找适合自己的学习方法，从而帮助学生形成良好的学习心理品质；利用RANK函数分析学生终结性学业成绩的均衡性，利用雷达图，结合中位数和百位数图示化分析学生终结性学业成绩，一方面引导学生关注自身全面的学业发展，另一方面，为学生在高一升高二文理分科时提供选择依据；提供操作简单的EXCEL模板，方便教师收集平时作业或单元测验中的诊断性学业成绩信息，使教学反馈环节及时精细，有利于任课教师及时了解学生的学习状况，根据学生实际情况调整教学目标和教学策略，从而更好地完成教学任务。

Tooled by calculating software SPSS15.0, the effective data were analyzed by basic statistical analysis, factor analysis, Pearson correlation analysis and regression analysis.

本研究通过实证分析，得出如下主要结论：第一，港口物流服务质量对顾客感知价值产生重要影响。

The cases which include 1823 insured patients and 6509 self-paying patients were collected from a three-level hospital in the year of 2006. SPSS 13.0 was used as statistical analysis software. Nonparametric test and multi-regression analysis were used as statistical methods. Medical expense and influencing factors of insured patients were analyzed.

选择某三级综合医院2006年住院医保患者1823人和自费患者6509人为研究对象，利用统计软件SPSS13.0，采用非参数统计以及多重线性回归分析等方法，对住院医保患者医疗费用及其影响因素进行分析。

The study takes descriptive statistical analysis, factor analysis, correlation analysis, and multiple regressions to do data analysis.

本研究并以叙述性统计，因素分析，相关分析，多元回归分析等统计分析来进行资料分析。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。