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Prof. Renato Salvatore

Prerequisites:

Descriptive statistics, inference, calculus, matrix algebra.

Contents:

Introduction to survey methods: data collection, sampling design, analysis of the survey data, estimation of survey variables, estimation in domains of interest;
Quantitative market research techniques: univariate and multivariate linear regression, Anova, Manova, Mancova, univariate and multivariate linear mixed models, multilevel models, non-linear mixed models, factor analysis, cluster analysis;
The assessment of the data from a market research perspective: case studies.

Aims:

The course brings together statistical theory and applications, exploring the market in deep. In particular, the focus is on the connections between the market characteristics and the customer choices.

Textbooks:

Mooi, E., Sarstedt, M., A Concise Guide to Market Research, Springer, 2011

Teaching and examination methods:

Theory classes and lab sessions. The exam is based on a computer work and an oral discussion.

[Ultima modifica: mercoledì 30 novembre 2016]