Arma-Garch-Copula

R语言对数据进行Garch-t-Copula建模和Garch-Clayton-Copula建模(Garch-t-Copula modeling and Garch-Clayton-Copula modeling for data in R language)

说明：  R 语言 bootRes包算相关系数 计算bootstrapped 相关系数(calculate bootstrapped correlation)

中国地面气候资料日值数据集(V3.0)处理程序，可以用来处理中国气象数据网上的气象数据(China surface climate data daily data set (V3.0) processing program can be used to process meteorological data on China Meteorological data online.)

说明：  进行了常微分方程的建立，并模拟出经典的SIR模型曲线(The ordinary differential equation is established and the classical SIR model curve is simulated)

说明：  估算波动率的动态条件相关系数，衡量两个金融市场之间的风险溢出效应(Estimating the dynamic conditional correlation coefficient of volatility and measuring the Risk Spillover Effect between two financial markets)

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

ADS-B接收，采用PlutoSDR板卡，基于matlab开发(ADS-B receives, uses PlutoSDR card, develops based on MATLAB)

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：  该文档中包含大量代码，首先是一些R语言基本语法练习的，然后是一些机器学习相关的，最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)

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)