Master's degree in Statistics and Operations Research

MEIO - Summer School - On Bayesian Methods in Industrial Statistics

Títol del curs: On Bayesian Methods in Industrial Statistics

Impartit per: Fabrizio Ruggeri. CNR IMATI. Milano. fabrizio@mi.imati.cnr.it

Llengua del curs: Anglès

Dates i horaris del curs: 21, 22, 23 i 25 de juny de 9 a 12 h i 28, 29 de juny de 9 a 13 h

Aula FME: 004

Tipus d'activitat i càrrega lectiva: Curs de 20 hores

Reconeixement acadèmic: 2,5 crèdits

Data de matrícula: Del 24 de maig al 13 de juny 2010

Temari:
1. Bayesian analysis: a brief review
  • 1.1 Motivation
  • 1.2 Inference
  • 1.3 Model selection
  • 1.4 Robustness
2. Reliability
  • 2.1 Basic examples and concepts
  • 2.2 Component reliability
  • 2.3 System reliability
    • 2.3.1 Renewal processes
    • 2.3.2 Poisson processes
  • 2.4 Degradation
  • 2.5 Accelerated failure tests
  • 2.6 Competing risks
  • 2.7 Software reliability
    • 2.7.1 Gas escapes (cast-iron pipes)
    • 2.7.2 Gas escapes (steel pipes)
    • 2.7.3 Subway doors failures
  • 2.8 Examples

3. Project management

  • 3.1 Basic concepts
  • 3.2 Dynamic linear models
  • 3.3 Cost forecast
  • 3.4 Delivery time forecast
  • 3.5 Rare, disruptive events forecast
  • 3.6 Activity scheduling
  • 3.7 Example
    • 3.7.1 Subcontractors' delivery time
After completing the course the student should be able to: have a deeper knowledge of the topics illustrated in the course; have a deeper, critical knowledge of the Bayesian approach; consider carefully the elicitation process, especially when applied to actual problem; - see how the interactions between statisticians and engineers lead to both development of new methodologies and analysis of actual problems.