After successful completion of this part, the student is able to:
- apply the convolutions and the conditional expectations/variances to solve an elementary stochastic inventory problem
- apply regression theory to investigate dependence between variables in a simple data set
Probability theory: convolutions and conditional expectations/variances of continuous and discrete random variables|
Regression theory in order to investigate dependence between multiple variables in a data set.