介绍多元统计分析中各数据处理方法，以及应用SPSS对数据进行相关性分析、主成分分析和因子分析等

Multivariate time series analysis considers simultaneously multiple time series. It is a branch of multivariate statistical analysis but deals specifically with dependent data. It is, in general, much more complicated than the univariate time series analysis, especially when the number of series considered is large. We study this more complicated statistical analysis in this book because in real life decisions often involve multiple inter-related factors or variables. Understanding the relationships between those factors and providing accurate predictions of those variables are valuable in decision making. The objectives of multivariate time series analysis thus include 1. To study the dynamic relationships between variables 2. To improve the accuracy of prediction

卷2部分

应用多元统计分析,高惠璇主编，大学课程教科书

参加王老师中国大学MOOC课程的同学不要错过了~~~关于老师上课讲的东西不错的补充哦~~~

这是一个商品数据，包含200行数据，可以做多元线性回归。

多元Logistic_回归分析多元Logistic_

Bootstrap3修改版 原有的12个栅格改为24个，方便控制多元素行

应用数理统计 方差分析， 假设检验，聚类分析

用matlab来实现r元的霍夫曼编码，元数r任意输入，概率个数任意输入。霍夫曼编码（Huffman Coding）是一种编码方式，是一种用于无损数据压缩的熵编码（权编码）算法。