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《时间序列分析及应用：R语言，潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)

结合案例来描述每一种统计学模型，解释如何开展数据分析，讨论采用模拟手段来检验模型，这是模型开发与评估中的重要方面，给出多层回归模型（如多层ANOVA、多层线性回归和广义多层模型），指导如何用R语言采实现诸多方法，在线提供书中所用到的数据集和R语言脚本。(Combined with the case to describe each kind of statistical model, how to carry out data analysis and interpretation, discusses the use of simulation to test the model, this is an important aspect of the development and evaluation of the model, given the multi regression model (such as multilayer ANOVA, multi linear regression and generalized multi model), how to achieve a lot of mining method with the R language guide online provide the data set and the R script used in the book.)

计算CVAR 条件下的最有权重，主要针对股票收益率进行分析(compute the optimal weight under CVAR condition)

r语言配套分析的数据，代码。适合初学者进行使用(R language supporting analysis of data, code. Suitable for beginners)

说明：  R语言舍选法、极坐标法、Box-Muller变换产生正态随机变量(R Language Rounding Method, Polar Coordinate Method and Box-Muller Transform to Generate Normal Random Variables)

说明：  金融时间序列第九章的代码加数据，用的r语言(Analysis of Financial Time Series 3th)

说明：  从GEO数据库下载原始数据，提取数据中的表达值(Download raw data from the GEO database and extract the expression values in the data)

说明：  成都市空气中的O3来源及分析，可用于大创项目(O3 source and analysis in air of Chengdu, which can be used in some projects)

说明：  R语言对数据进行Garch-M-Copula建模并利用EM算法估计相应的参数(Garch-m-copula is used to model the data in R language and EM algorithm is used to estimate the corresponding parameters)

能检测各种高德地图的端口的比特率和串口数据，也可以修改数据(High speed rate modifier)