Class Quantitative Pressure Methods

The CU aims to introduce the main quantitative methods of forecasting applied to problems of Economics and Business Management.

Not applicable

Fundamental concepts of data analysis and the role of data analysis in the context of Business Management. Prediction for temporal and non-temporal data. Regression applied to prediction problems: Simple and multiple linear regression as modeling tools and as prediction tools. Regression applied to nonlinear problems and to the estimation of trends in time series. Time series modeling and prediction: "Naive" models. Decomposition models. Moving averages. Exponential smoothing. Box-Jenkins methodology. Classification problems and prediction of qualitative data.

The teaching methodologies are based on management problems to which the students must apply the core skills to be developed, using software appropriate to each problem.

Montgomery, D.C., Jennings C.L., Kulahci M. (2015) Introduction to Time Series Analysis and Forecasting. Wiley-Interscience. Sharda, R., Delen, D. and Turban, E. (2014). Business Intelligence and Analytics - Systems for Decision Support. Pearson. Wooldridge, J. M. (2016), Introductory Econometrics: A Modern Approach, South-Western, Cengage Learning. Box, G. Jenkins,G and Reinsel, G. (2008), Time Series Analysis: Forecasting and Control Ed. Wiley.