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判别分析

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Discriminant analysis is an important method in multivariate statistic analysis to distinguish what type an individual should belong to.

判别分析是多元统计分析中判断个体所属类型的一种重要方法。

Based on clustering analysis and discriminant analysis the basic theory and methods on the basis of its application in shandong, agricultural development status of research, and described in detail in the process of software SPSS.

本文在对聚类分析和判别分析的基本理论和方法进行阐述的基础上,将其应用于山东农业发展状况的研究,并详细叙述了在统计软件SPSS中的实现过程。

Methods Cluster analysis and discriminative analysis were adopted for their identification.

采用聚类分析和判别分析方法进行定性鉴别。

Methods:The patient data of 63 cases (76 ears) in the hospital last five years were collected and treated with description statistical analysis as well as multiply discriminatory analysis with the aid of computer.

收集近 5 年突聋住院患者 63 例计 76 耳,将资料录入微机进行描述性统计分析和多类判别分析

Meanwhile, cyanosis of lips, purplish tongue, varicose sublingual vein, flaccidity of lower extremities, hemianesthesia, headache, blackish eyelids, dispiritedness, tongue with ecchymosis, dysphasia, blackish complexion, squamous and dry skin, pain on the paralytic limbs, dermorrhagia, and distension of stomach and abdomen are more influential symptoms and signs.

同时,在相关的临床症状和体征的多元线性逐步回归分析中发现,唇色紫暗、舌质紫暗、舌脉曲张、下肢肌力减弱、偏身麻木、头痛,睑下青黑、精神萎靡、舌有瘀斑、言謇失语、面色晦暗、肌肤甲错、瘫肢疼痛不移、肌肤青紫/有瘀斑及脘腹胀满对脑梗塞血瘀证诊断的影响较大;将单因素分析有显著性意义的症状、体征变量,代入贝叶斯逐步判别分析,结果发现唇色紫暗、舌脉曲张、爪甲紫暗、偏身麻木、舌质紫暗、言謇失语、睑下青黑、头痛、瘫肢温度降低、下肢肌力下降等对血瘀证的诊断能力较强,而且在随后的交互检验中也显示了较好的稳定性。

On the basis of its importance both in theoretical research and practical application, gait recognition needs to be further studied. With the help of current research findings, this thesis has made the following innovative contributions: 1. Based on the perceptual shape descriptors and the eigenspace transformation, a new automatic gait recognition algorithm is proposed. The principal component analysis and the multiple discriminant analysis are used to reduce data dimensionality and to optimize the separability of different classes.

鉴于步态识别技术具有重要的理论研究意义和实际应用价值,本文对其进行了深入的研究,取得了以下研究成果: 1、利用主成分分析方法和多重判别分析方法进行特征降维,提出了一种基于感知轮廓描述子和特征空间变换的自动步态识别算法。

Proceeding from the above purpose and thinking, the following of research contents is launched that: Chapter one is a part of the prolegomena, and mainly introduce the purpose, meaning, research background, documents survey in which the tax compliance discrimination models concerned. On the basis of the investigation of the critical to taxation, Chapter two reveals the index system, and uses the discriminating analytical method to judge taxpayers" credit, and embodies its standard and methods in judgments. On the disvovery of the investigating taxpayers" microeconomics behavior, Chapter three uses the econometrical modeling methods and data mining technology, establishes Logistic regression model, calculates taxpayer credit measure and gives the empirical analysis; Chapter four gives a work methods and suggestions in practical application of identifying models; It is a conclusion of this paper, which reaffirms the main achievements and viewpoints of this paper.

从以上目的和思路出发,本文研究内容如下方式展开:论文第一章为绪论部分,主要介绍纳税人诚信识别模型研究的目的、意义、研究背景、文献综述以及全文框架;第二章在纳税评估问卷调查基础上,提出纳税评估指标体系,并应用多元统计的判别分析方法来给出评判纳税人诚信,并具体给出其判断的标准与方法;第三章在考察纳税人微观行为基础上采用计量经济建模方法和数据挖掘技术,建立定量能测算纳税人诚信水平的Logistic回归模型,并作实证分析:第四章对比分析纳税评估模型实证研究结果,并就模型在实际应用中的工作方法、建议及进一步的研究方向展开讨论;最后为本文的结论,在该部分将再次重申本文研究的主要成果和观点。

Empirical test shows that classification tree outperforms the discrimnant analysis method. At last, the paper analyses the effect to accuracy of primary sample set and variable structure.

实证分析表明该方法比线性判别分析方法的准确率高;针对进一步提高分类准确率,结论部分对初始样本和变量结构对分类准确性的影响进行了分析

The technique of multivariate statistical analysis is used to study the driving adaptability for drivers in mechanism of faming. The principal component analysis is used to found the evaluated index system for the driving adaptability. The cluster analysis is used to group drivers

依据主成分分析方法建立了农机驾驶员职业适应性的评价指标体系;运用动态聚类分析方法对驾驶员职业适应性的优劣进行了分组;使用判别分析方法来确定驾驶员的分类归属。

Based on 3 ecotypes classfication of garlic varieties using 12 eco-characters, the eco-characters used to distinguish 3 ecotypes made by principal component analysis and discriminant analysis.

在用12个生态性状对大蒜生态型进行数量分类的基础上,采用主成分分析和判别分析的方法,分析了区分不同生态型的性状指标。

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