Selected Topics in Business Statistics

Subject description

Contents will be selected among the following topics depending on the topic of the doctoral dissertation:

  • Statistical systems in economics and business sciences.

  • Statistical consulting.

  • Index numbers and composite indicators.

  • Customer data analysis.

  • Statistical quality control.

  • Categorical data analysis.

  • Multilevel regression models.

  • Network analysis in business.

  • General regression model, estimators, asymptotic analysis and statistical inference

  • Discrete choice, time series, panel data and multivariate models.

  • Business process modeling.

  • Qualitative research for business.

  • Other relevant and current topics.

The subject is taught in programs

Objectives and competences

Course objective is to gain in-depth knowledge of specific fields of business statistics relevant for doctoral dissertation. The lectures will be given by local and/or foreign experts in each selected field.

Teaching and learning methods

  • Lectures.

  • Seminars and labs.

  • Consultations.

Expected study results

After taking this course students will be able to carry out individual PhD-relevant research work in the area of business statistics.

Basic sources and literature

Temeljni učbenik:

COLEMAN, Shirley (ed.), GREENFIELD, Tony (ed.), STEWARDSON, Dave (ed.), MONTGOMERY, Douglas C. (ed.). Statistical practice in business and industry, (Statistics in practice). Chichester: John Wiley & Sons, 2008.

Preostanek literature bo prilagojen izboru tem v danem študijskem letu. / The rest of the literature will be adopted in accordance with the selection of topics within a given academic year.

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