In this work we generate the numerical solutions of the Burgers’ equation by applying the Crank-Nicolson method directly to the Burgers’ equation, i.e., we do
Consider a first-order autoregressive processes , where the innovations are nonnegative random variables with regular variation at both the right endpoint infin
The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can help to impr