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Contents
Part I Statistical computing with R
Chapter 1 Basics in R
Chapter 2
Distributions and Statistics in R and Graphics
Chapter 3 Methods for generating random numbers
Chapter 4
Monte Carlo method
Chapter 5
Linear Regression models in R and OLS estimation
Chapter 6
Maximum Likelihood Estimation and function writing
Part II Modeling Time Series with R
Chapter 7 Time series in R
Chapter 8 ARMA Processes
Chapter 9 Vector Autoregressions
Chapter 10 Nonstationary time series models
Chapter 11 Cointegration
Chapter 12 Univariate GARCH models
Chapter 13 Multivariate GARCH
models
Chapter 14 Nonlinear time series models
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