多元回归分析

Five main stalk crops planted in northern China including wheat, corn, broomcorn, soybean, and millet, were chosen to be the samples of the experiments. About seven morphological traits (such as plant height, ear length, ear weight, moisture content and so on) were measured in the crop mature period. The maximum shear force during shearing process, through static test equipment, at the second internode of the basal stalk, was recorded. And shear strength of each crop was calculated to find the differences of shear strength among different crops. The optimal regression models of shear force and morphological traits were obtained by multiple linear regression method with Statistics Analysis System. The equation based on the regression models was constructed.

本文以北方主要茎秆作物（小麦、玉米、高粱、大豆、谷子）为研究对象，试验测定了成熟期茎秆基部第二节间的最大剪切力及株高、穗长、穗重、含水率等七种形态特性指标，获得了静载情况下相关样本的剪切强度；分析比较了不同茎秆作物剪切强度的差异性，并利用SAS软件对茎秆作物剪切力与形态特性指标进行了多元线性回归，得到了剪切强度对形态特性指标的最优回归方程。

In order to ensure the reliability and accuracy of theoretical analysis, we use empirical analysis on the market data. At first, we make multivariate statistical regression on the financial indicators, including the day-to-day operating conditions, the stock market performance, and single-stock risk in a fluctuation cycle. On the basis of control variables, we then examine the direct impact of governance indicators and the indirect impact (the cross-variable regression of financial and governance).

为了保证理论分析的可靠性和准确性，运用实证分析法对股票市场一个波动周期内的财务指标（包括日常经营状况、股票市场表现、单只股票风险三方面）做多元统计回归，在此基础上，以财务指标作为控制变量，研究治理指标的直接影响和间接影响（财务与治理变量交叉项的回归）。

It uses t-Test and Granger Causality Test to solve the problems of multicollinearity and spurious regression, so the whole model is convictive.

3实证分析部分采用岭回归和Granger因果关系检验的计量方法，有效地克服了时间序列多元线性回归模型中经常出现的多重共线性和伪回归现象，模型整体具有较强的说服力。

The basical ideas, arithmatic methods and applied conditions of reduction of partial least squares and discrete wavelet transformation, logitboost, random forests and fuzzy kendal discriminate analysis of microarray gene expression data, ordinal discriminate analysis of time series multivariate data and varied-coefficient-logistic-regression-model discriminate analysis of the data with varied regular pattern in itself.

本文对医学领域中判别分析方法的新进展做一综述，介绍了微阵列基因表达数据判别分析中偏最小二乘法降维、离散小波变换法降维、logitboost算法、随机森林、模糊核判别分析以及时间序列多元数据有序判别分析法、自身有变化规律数据的变系数logistic回归模型判别分析法的基本思想、算法和适用条件。

Multiple linear regression, binominal regression and neural network methods were applied in the analyses.

应用多元线性回归、二项式回归和神经网络等方法进行全面分析。

We analyzed primary test factor through multi-element linear regression model. We finally concluded the optimum conditions for tapioca starch micronization.

利用多元线性回归进行方差分析，分析了试验因素对回归方程的影响效应，最后得出优化的木薯淀粉微细化处理条件。

Alternatively, the test power may be reduced if we analyze these variables one by one, and the results are also difficult to explain, moreover, it is difficult to compare these results with that from the analysis on the dichotomized variable.

针对这些问题，本文提出了以广义最小二乘法原理处理同胞对数据间的相关性，以多元响应回归的方法处理多个性状数据间的相关性的多元性状同胞对连锁分析方法。

A mathematic model,which deals with the relationship between maximum temperature of thick plate butt multipass welding and weld heat input,interpass temperature,ambient temperature and the distance of measuring points to heat source center,was founded using multivariant nonlinear regression analysis.

采用多元非线性回归的方法，建立了厚板对接多道焊的最高温度与焊接线能量、层间温度、环境温度以及测点到热源中心的距离之间的数学模型。通过相关性检验、线性回归的显著性检验以及回归系数的显著性检验，证明了模型可行；同时分析了回归系数与测点到焊缝中心距离之间的关系。结果表明，它们之间的关系是一种非线性关系，而且呈现出了一定的变化趋势

On the poet's choice, mainly be decided by two standards, one is the popularity and influences of works; two is the meaning of the creations development that it create for the whole colony. Owing to above two standards, the writer chooses seven writers to launch the treatise, they are Jidi Maja, Jimu Langge, Luwu Laqi, Ma Deqing, Aku Wuwu , Asu Yuer, Eni-Mushashijia. In discussing the process, the writer used the nationality and Poetics of the poem as the latent clues, emphasized to inquiry into three main roads and three main realms. On the article structure, the full text mainly is divided into two parts, one is the concrete imago analysis to each poet creations, two is upon the analytical foundation the integration of the theories, with this the treatise could be united into an organic whole. In regard to the conclusion, we educe the characteristics of the colony is deep consciousness to the nation culture, also extensive exploration and attention to poetics. The blemish is the inside emotion and sensibility is similar or duplicate and that the creation pattern is narrow. The main develop threads of the colony are upon the female clan culture the diverse poem skill investigation, its nation culture value tropism present the rising spiral type of return- leave- return again.

在研究方法上，本文以意象分析法为贯穿全文的主要方法，通过对意象的具体分析来****凉山诗群的诗歌世界；在诗人的选择上以其作品的影响力及意义为标准，选择了这一诗群的七位诗人展开论述，他们分别是吉狄马加、吉木狼格、倮伍拉且、马德清、阿库乌雾、阿苏越尔、俄尼·牧莎斯加；在论述过程上，笔者以诗歌的民族性和诗性作为前后贯穿的潜在线索，着重探讨了这一诗群创作的三个主要倾向和三个主要领域，前者详论，后者略述，具体表现在对前三位诗人的论述以诗人论的形式详细展开，探讨他们所代表的凉山诗群发展过程中的三个主要创作倾向，即民族文化的深层开掘、诗艺的实验性探索和艺术哲学的尝试性建构，对后四位诗人的论述则以主题的方式展开，探讨他们所代表的凉山诗群在爱情诗、乡土诗和文化诗三个领域的探索；在文章结构上，全文主要分为两大板块，一是对各位诗人创作的具体意象分析，二是在前文分析的基础上进行理论的整合，以此将前面散珠似的论述贯穿成一个有机整体；在结论上，我们通过整合得出：1、凉山诗人群新时期以来诗歌创作的大致发展脉络：在母族文化的基质之上的多元诗艺探索，其民族文化价值取向呈现为回归—离去—再回归的螺旋式上升形态；2、新时期彝族凉山诗人群汉语诗歌创作的特点，即民族文化意识的深层自觉，对诗性的关注和探索；3、新时期彝族凉山诗人群汉语诗歌创作的缺陷，即情感意蕴的雷同和创作格局的狭小。

It chooses the number of landscape types as human interference factors to construct artificial neural network model, multi-model adaptive regression splines, support vector machine model and projection pursuit regression model to respectively analog analysis human disturbance on the impact of the landscape diversity, dominance and evenness.

选择景观类型数量作为人类干扰因子，构建人工神经网络模型、多元自适应回归样条模型、支持向量机模型和投影寻踪回归模型，分别模拟分析人为干扰对景观多样性、优势度和均匀度的影响。

We are in a real jam.

我们的麻烦大了。

Hey, it's Ahmet from India, that foreign exchange guy.

看，那是印度的阿曼特，国际交换生