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京东 11.11 红包
Chapter8.1.1 Intuition and Definitions
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刘婧媛教授:厦门大学经济学院统计学与数据科学系、王亚南经济研究院博士生导师,教育部青年长江学者,厦门大学南强青年拔尖人才(A类)。科研方面主要从事大数据及商业价值、高维数据的统计方法、因果推断、统计咨询、统计基因学等领域的工作,在Journal of American Statistical Association (JASA), Journal of Business & Economic Statistics (JBES),Annals of Applied Statistics等国际权威学术期刊发表论文20余篇;主持国家自然科学基金、科技部重点研发计划子课题等国家级、省部级多项科研项目。教学方面曾获厦门大学教学技能大赛暨英语教学比赛特等奖、宾夕法尼亚州立大学最佳教学奖等荣誉;参与编著《数据思维:从数据分析到商业价值》、《数据思维实践:从零经验到数据英才》等教材。
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第六章:6.1 主成分分析思想
Chapter8.1.2 Orthogonal Factor Model and Assumption
Chapter7.3.4 Application Example with R Implementation
Chapter9.2.2-1 Types of Hierarchical Methods
第七章:7.3.2 因子旋转 (正交旋转和斜交旋转)
Chapter6.1.1 Multiple Regression Model
Chapter8.1.3 Distinguishing Factor Analysis and Other Methods
Chapter9.2.2-2 Types of Hierarchical Methods
Chapter8.4 Application Example with R Implementation
Chapter7.1 Introduction to Principal Component Analysis (PCA)
Chapter7.4-2 Canonical Correlation Analysis
Chapter6.1.3 Hypothesis Tests
Chapter7.2.1 Deriving Poulation Principal Components
Chapter5: 5.2.2-2 Fisher's LDA for Several Populations
Chapter6.1.2-2 Estimations
Chapter5: 5.3.2-1 Classification for Several Populations
Chapter9.2.3 Choosing Number of Clusters
Chapter5: 5.2.2-3 Fisher's LDA for Several Populations
Chapter7.3.3 Deciding How Many Components to Retain
第八章:8.2.2 层次聚类 (层次聚类的类型-上)
Chapter9.1 Introduction to Cluster Analysis
Chapter9.3-2 Nonhierarchical Methods Partitioning
第八章:8.2.2 层次聚类 (层次聚类的类型-下)
Chapter8.3.2-1 Orthogonal Rotation and Oblique Rotation
Chapter8.2.3 Estimating Factor Scores
Chapter7.4-1 Canonical Correlation Analysis
Chapter6.2.1-2 Multivariate Multiple Regression Model
第三章:3.3 多元正态的估计
Chapter8.2.2 Other Methods
Chapter9.3-1 Nonhierarchical Methods Partitioning
第六章:6.2.1 总体主成分分析 (总体主成分推导)
Chapter6.1.2-1 Estimations
Chapter5: 5.3.1.2-2 Classification Based on Bayes Rule
Chapter5: 5.3.1.2-1 Classification Based on Bayes Rule
Chapter5:5.3.1.1-1 Classification Based on Fisher's Linear Discriminant Analysis
Chapter8.3.2-2 Orthogonal Rotation and Oblique Rotation
第五章:5.3.2 分类分析:分类结果 (两群体贝叶斯分类)
Chapter8.2.1-2 Principal Component Methods
Chapter5: 5.2.1-2Fisher's Linear Discriminant Analysis for Two Populations
第三章:3.1 多元正态分布