【书名】  Applied Multivariate Statistical Analysis
【作者】  Wolfgang Hardle  L_eopold Simar
【文件格式】PDF，PDG（超星格式），Word，CHM，exe文件，CAJ等
【文件大小】4.6M
【页数】485
【资料类别】统计学教程
【扫描版还是影印版】扫描版
【是否缺页】完整
【关键词】Multivariate Data，Principal Components Analysis，Canonical Correlation，Discriminant Analysis ，Factor Analysis，Cluster Analysis
【内容简介】多元数据的分析方法
【目录】
I Descriptive Techniques 11
1 Comparison of Batches 13
II Multivariate Random Variables 55
2 A Short Excursion into Matrix Algebra 57
3 Moving to Higher Dimensions 81
4 Multivariate Distributions 119
5 Theory of the Multinormal 155
6 Theory of Estimation 173
7 Hypothesis Testing 183
III Multivariate Techniques 217
8 Decomposition of Data Matrices by Factors 219
9 Principal Components Analysis 233
10 Factor Analysis 275
11 Cluster Analysis 301
12 Discriminant Analysis 323
13 Correspondence Analysis 341
14 Canonical Correlation Analysis 361
15 Multidimensional Scaling 373
16 Conjoint Measurement Analysis 393
17 Applications in Finance 407
18 Highly Interactive, Computationally Intensive Techniques 421
A Symbols and Notation 443
B Data 447
Bibliography 479
Index