Teacher
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SECONDI Luca
(syllabus)
(Program being defined) The role and use of statistics to support corporate decision-making processes. Availability and production of statistical information: company information systems, internal sources and external sources. Official statistics and private statistics. The different types of external sources on businesses and consumer behaviour. The production of ad hoc data: sample surveys. Target population, effective population and survey population. Population, sample and estimate: probability of inclusion, estimate of a parameter, estimate of a total, estimate of an average. Sampling designs: simple and systematic designs, layering, cluster designs, multi-stage and multi-stage sampling. Some notes on spatial sampling. Non-probabilistic sampling designs and indirect sampling. Outline of post-stratification and treatment of non-responses. Measurement and communication tools in sample surveys: direct and indirect data collection. Measurement of the relationships between variables for business decisions: references to bivariate type association measures and introduction to multivariate statistical analysis. Principal component analysis: logic and phases of the analysis, performance of the ACP and usefulness in business processes and in evaluating the economic and financial performance of companies. Cluster Analysis (CA): aims and types of cluster analysis, agglomerative hierarchical cluster analysis: the matrix of the distances between units. Phases of cluster analysis. Review of the simple linear regression model and insights into the multiple linear regression model. Regression for bounded dependent variables: the logit model and the probit model.
(reference books)
Lecture notes and slides distributed by the teacher during the course
Reference texts (to be defined): Biggeri L., Bini M, Coli A, Grassini G, Maltagliati M (2017) Statistica per le decisioni aziendali (Pearson) Tillé Y, Dickson M.M., Espa G (2020) Elementi di campionamento e stima da popolazioni finite (Pearson)
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