Subject description
Contents will be selected among the following topics depending on the topic of the doctoral dissertation:
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Statistical systems in economics and business sciences.
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Statistical consulting.
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Index numbers and composite indicators.
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Customer data analysis.
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Statistical quality control.
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Categorical data analysis.
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Multilevel regression models.
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Network analysis in business.
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General regression model, estimators, asymptotic analysis and statistical inference
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Discrete choice, time series, panel data and multivariate models.
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Business process modeling.
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Qualitative research for business.
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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
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Lectures.
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Seminars and labs.
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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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University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana