Chapter1: Basic concepts and notions
Chapter2: Regression analysis and an example of coreelation test
Chapter3: Linear multivariate statistical analysis and modeling and supplementary, plus CCA test
Chapter4: Nonlinear modeling - Neural Network Regression
Chapter5-6: An Introduction to the numerical solution of differential equation: Discretization
, supplementary and codes
Chapter7: Solving Ordinary Differential Equations with Runge-Kutta Methods and ppt and
practice programming
Chapter8: A simple model of the unpredictability of weather: The Lorenz Equations
Chapter9: Ensemble-based Data assimilation methods