data

《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)

SIR。。。。 传染病传播的SIR模型，很全，可直接应用仿真模拟 (SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)(SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)

说明：  R Programming implementation of panel smoothing threshold regression model

FAVAR。运用结构化变量进行因子分析，拟合VAR模型(FAVAR. Structural variables were used for factor analysis to fit the VAR model)

关于时间序列分析的一些比较简单的例子，有注释。使用R语言编写。(Some examples of time series in R)

较基础的R语言学习书籍，初学时比较适用。(R language programming)

混沌控制在机电控制系统中的应用，很好的外文原版书籍。供大家学习，参考。(chaos in Electrical drive)

双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)

说明：  一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)

说明：  spei的R语言计算版本 用于计算干旱指数spei(R language computing version of spei)